To see the other types of publications on this topic, follow the link: Detection and prevention of fraud.
Journal articles on the topic 'Detection and prevention of fraud'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Detection and prevention of fraud.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Halbouni, Sawsan Saadi, Nada Obeid, and Abeer Garbou. "Corporate governance and information technology in fraud prevention and detection." Managerial Auditing Journal 31, no. 6/7 (June 6, 2016): 589–628. http://dx.doi.org/10.1108/maj-02-2015-1163.
Full textAbstract:
Purpose This paper aims to investigate the role of corporate governance and information technology in fraud prevention and detection within the United Arab Emirates (UAE). Design/methodology/approach This study uses a survey of financial accountants and internal and external auditors to assess their perceptions of the effectiveness of IT and corporate governance as measured in terms of the audit committee’s effectiveness, internal audit functions, external audit functions, culture of honesty and employee training programmes in preventing and detecting fraud in the UAE. Findings The results indicate that corporate governance has a moderate role in preventing and detecting fraud in the UAE and that IT has the same role as traditional fraud prevention and detection techniques. The results also show no significant difference between internal and external auditors in their use of technological and traditional techniques during the course of audits. Research limitations/implications The findings suggest that the senior management and boards of directors must better understand the importance of their oversight function. The finding that a culture of honesty has a low positive impact on fraud prevention and detection in the UAE indicates that chief executive officers and boards of directors must make more efforts to set the “tone at the top” to improve the corporate environment in terms of integrity and ethics, among other factors. Furthermore, as IT and traditional techniques provide the same function, senior management and boards of directors must be alerted to the importance of developing systematic approaches to fraud investigation that involve greater reliance on technological approaches. Practical implications The moderate role of corporate governance suggests that senior management and boards of directors must better understand the importance of their oversight function to meet their obligations and fiduciary responsibilities to stakeholders. Furthermore, greater adoption of IT to detect and prevent fraud contributes to developing a systematic approach to fraud investigation, capable of identifying unusual activity using effective software. Originality/value This study contributes to the literature on the role of corporate governance and IT in preventing and detecting fraud, particularly for Middle Eastern countries and other emerging nations. The study may provide insights to academics and practitioners in the UAE and their international counterparts.
2
Stevenson, Gordon. "Computer Fraud: Detection and Prevention." Computer Fraud & Security 2000, no. 11 (November 2000): 13–15. http://dx.doi.org/10.1016/s1361-3723(00)11018-8.
Full text
3
Zainal, Rafidah, Ayub Md Som, and Nafsiah Mohamed. "A REVIEW ON COMPUTER TECHNOLOGY APPLICATIONS IN FRAUD DETECTION AND PREVENTION." Management and Accounting Review (MAR) 16, no. 2 (December 31, 2017): 59. http://dx.doi.org/10.24191/mar.v16i2.671.
Full textAbstract:
Since the advancement in computer technology, fraud has become one of the high risk crimes in the world which needs urgent detection and prevention at early stage. Nowadays, different kinds of fraud exist in commercial areas namely; credit card, healthcare insurance, online reviews, telecommunications, automobile, etc. Fraud can also happen internally and externally in an organisation. In internal fraud an employee commits it individually, whereas the external fraud involves a wide range of schemes including a third party. Therefore, a detection and prevention mechanism system in the form of computer software is essential in preventing fraud so as to curb further financial losses. The aim of this paper is to critically review the use of computer technology to detect and prevent fraud in selected areas. Recent computer platforms used as a tool to develop fraud detection and prevention system are namely; spreadsheets, big data, forensic analytics, text analytics and expert systems. Based on the review, expert systems have been found to be the best option used as a future tool to curb fraud. The opportunities from this review may allow others to explore more on the technology implemented so as to improve fraud detection and prevention in the future.
4
Marston, Claire, Rob Dixon, and Paul Collier. "Internal Auditors and the Prevention and Detection of Computer Fraud." Journal of Information Technology 4, no. 4 (December 1989): 230–38. http://dx.doi.org/10.1177/026839628900400406.
Full textAbstract:
This study examines the involvement and attitudes of internal auditors to the prevention and detection of computer fraud. This approach differs from previous research which has concentrated on learning from frauds which have occurred. The main enquiry was by means of a questionnaire sent to members of the Institute of Internal Auditors. Verification and additional information was forthcoming by visiting some respondents. Almost a fifth of internal audit departments reported that they had no specific responsibility for either prevention or detection of computer fraud. It was clear that where responsibility was acknowledged, it is generally on an informal basis or is self imposed. Internal auditors reported that most reliance was placed on computer assisted tools and manual techniques like input/output reconciliation for detection of computer fraud. Few of the organisations surveyed had any laid down guidelines what to do in the case of a fraud discovery. Where guidelines did exist they called for dismissal and prosecution. In smaller firms, external auditors have a larger role in the prevention and detection of computer fraud than in larger firms. Opinion on the prevention and detection of computer fraud included the view that as network systems become more common, so detection and prevention will become more difficult. In addition it was claimed that management did not appreciate the level of the threat. Internal auditors feel that they have a role to play, but highlighted the fact that there is a shortage of staff with the requisite skills.
5
Sujana, Edy. "Fraud Detection and Prevention Methods: Inspector's Auditor's Perception in Bali." Journal of Advanced Research in Dynamical and Control Systems 24, no. 4 (March 31, 2020): 8–16. http://dx.doi.org/10.5373/jardcs/v12i4/20201413.
Full text
6
Kapardis, Andreas, and Maria Krambia-Kapardis. "Enhancing fraud prevention and detection by profiling fraud offenders." Criminal Behaviour and Mental Health 14, no. 3 (September 2004): 189–201. http://dx.doi.org/10.1002/cbm.586.
Full text
7
Babando, Kamalu Aliyu. "FRAUD PREVENTION AND DETECTION SYSTEM IN NIGERIA BANKING INDUSTRIES." Computer Science & IT Research Journal 3, no. 2 (July 16, 2022): 52–65. http://dx.doi.org/10.51594/csitrj.v3i2.355.
Full textAbstract:
Fraud is on the rise as a result of the advent of modern technology and the global superhighways of banking transactions, resulting in billions of dollars in losses worldwide each year. Although fraud prevention technologies are the most effective method of combating fraud, fraudsters are flexible and will usually find a way around them over time. We need fraud detection approaches if we are to catch fraudsters after fraud prevention has failed. Statistics and machine learning are effective fraud detection technologies that have been used to detect money laundering, e-commerce credit card fraud, telecommunications fraud, and computer intrusion, to name a few. The program is simple to use, and anyone with permission can use it. The importance of computer technology has expanded as it has advanced in all areas of human endeavor.
Keywords: Fraud Detection, Fraud Prevention, Banking Industries, Telecommunications.
8
Almutairi, Abdulrazaq Alsuhail. "Toll-Fraud Protection, Detection and Prevention." International Journal of Intelligent Computing Research 9, no. 3 (September 30, 2018): 939–43. http://dx.doi.org/10.20533/ijicr.2042.4655.2018.0113.
Full text
9
Almutairi, Abdulrazaq Alsuhail. "Toll-Fraud Protection, Detection and Prevention." International Journal for Information Security Research 8, no. 2 (June 30, 2018): 805–9. http://dx.doi.org/10.20533/ijisr.2042.4639.2018.0092.
Full text
10
Webster, Lee Ann H. "Early detection and prevention of fraud." Community Oncology 6, no. 11 (November 2009): 519–22. http://dx.doi.org/10.1016/s1548-5315(11)70363-1.
Full text
11
Rashid, Chnar Abdullah. "The role of internal control in fraud prevention and detection." Journal of Global Economics and Business 3, no. 8 (January 1, 2022): 43–55. http://dx.doi.org/10.31039/jgeb.v3i8.40.
Full textAbstract:
An effective internal control system should be able to provide managers with increased accountability for their plans and reasonably ensure that the plans they guide reach the set goals. However, effective systems are not limited to digital systems but also systems that can prevent and detect fraudulent activities. The overall goal of this research is to analyze the impact of internal control systems on fraud detection and prevention. It is necessary to set an appropriate tone at the top, and top management should encourage ethical behaviour in a transparent manner. A risk assessment process needs to be set up, and the risk of fraud can be assessed by brainstorming to deceive the organization. It is necessary to create report and the investigation process. Thus, this work attempted to review and analyze 20 articles among different countries to reveal the importance of internal control system in preventing and detecting fraud in commercial companies. It is discovered that it has a significant role in fraud prevention.
12
Sudarmanto, Eko. "Manajemen Risiko: Deteksi Dini Upaya Pencegahan Fraud." Jurnal Ilmu Manajemen 9, no. 2 (June 15, 2020): 107. http://dx.doi.org/10.32502/jimn.v9i2.2506.
Full textAbstract:
The economic costs of fraud in financial statements continue to be a problem for organizations and the public. The problem discussed in this study is limited risk management strategies to detect early for the prevention of fraud made by company managers and auditors. This strategy is important for proactive fraud prevention and for the integrity of financial statements in the future. The aim of this multi-case qualitative study is to explore early detection and methods of preventing fraud on financial statements using a conceptual framework of risk management. As a conclusion, there is a gap in the concept of risk management in current practice to detect and prevent fraud, and how the auditor's perspective in creating a proactive anti-fraud model. In addition, with this finding practitioners can develop proactive antifraud risk management procedures, and for auditors can develop early detection guidelines in fraud prevention
13
Paranoan, Natalia, Sita Yubelina Sabandar, Anthon Paranoan, Elisabet Pali, and Isak Pasulu. "The Effect of Prevention Measures, Fraud Detection, and Investigative Audits on Efforts to Minimize Fraud in The Financial Statements of Companies, Makassar City Indonesia." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (April 19, 2022): 54–62. http://dx.doi.org/10.37394/23209.2022.19.6.
Full textAbstract:
The purpose of this study was to examine the effect of fraud prevention, detection, investigative audits, and professionalism of auditor on efforts to minimize fraud in financial statements. This study uses primary data by using questionnaires where the questionnaires are distributed to internal auditors who work in companies in Makassar City, Indonesia. Sample determination was done by using convenience sampling. The number of respondents in this study were 52 internal auditors. Data analysis to test the hypothesis was done by using multiple regression test. The results of this study indicate that partially, preventive measures and professionalism of auditor have significant effect on efforts to minimize fraud, while partially fraud detection and investigative audits have no significant effect on efforts to minimize fraud. However, simultaneously, the four variables of fraud prevention, detection, investigative audit, and professionalism of auditor have a significant effect on effort to minimize fraud.
14
Hamilah, Hamilah, Adji Suratman, and Saeful Alam. "The Effectiveness of the Internal Whistleblowing System in Fraud Detection and Prevention (Empirical Study at PT Asuransi Jiwasraya (Persero)." Dinasti International Journal of Economics, Finance & Accounting 3, no. 1 (April 1, 2022): 1–21. http://dx.doi.org/10.38035/dijefa.v2i6.1142.
Full textAbstract:
This research mainly aims to test and analyze the effectiveness of the Internal Whistleblowing System in Fraud Prevention. The population in this study are all employees who work in the Division of Finance & Accounting, Internal Audit PT. Asuransi Jiwasraya (Persero). While the sample used the purposive sampling method, amounting to 50 respondents. The independent/independent variables of the study are the influence of the Internal Auditor, Internal Control System, Whistleblowing System, Whistleblower Protection, Organizational Commitment. The dependent/dependent variable is Fraud Prevention. The research methodology uses Structural Equation Modeling (SEM) using smartPLS 3.2.7 software. The tests carried out are the Outer model, Inner model, indirect effect test, and hypothesis testing. The test results show the influence and significance of the internal control system on the prevention of fraud, the influence and significance of the internal auditor on the prevention of fraud, the influence and significance of the audit committee on the prevention of fraud, there is a significant effect of the independent commissioner on the prevention of fraud and there is a significant effect on the protection of the whistleblower on preventing fraud, there is a significant effect of the whistleblowing system on fraud prevention, there is a significant influence on the internal control system, internal auditors, audit committees, independent commissioners through the protection of whistleblowers against fraud prevention, and there is a significant influence on internal control, internal auditors, audit committees
15
Adebisi, Adesola Wasiu, Ewa Uket Eko, Oyama Prince-David Enang, Udofia Collins Etim, and Aniyom Wilson. "Econometric Analysis of the Causal Link between Forensic Accounting Techniques and Fraud Prevention in Nigeria." Scholars Journal of Economics, Business and Management 9, no. 10 (October 18, 2022): 215–26. http://dx.doi.org/10.36347/sjebm.2022.v09i10.002.
Full textAbstract:
This study examined the effect of forensic accounting techniques on fraud prevention in Nigeria. The study adopted the ordinary least square technique to assess specifically, the effect of computer assisted audit techniques, Ratio Analysis techniques and Trend Analysis technique on fraud detection/prevention in Nigerian banks. The outcome of the study revealed that there is a causal linkage between application of forensic accounting techniques and fraud detection and prevention in banks operating in Nigeria except trend analysis technique which showed no causal linkage with fraud detection/prevention. We therefore, recommend that frequent utilization of forensic audit services will significantly help in the detection, prevention as well as reduction of incidences of fraud in businesses. Furthermore, Nigeria deposit money banks should encourage the use of forensic accounting techniques to curtail fraudulent malpractices in its operations. Other robust techniques for fraud detection/prevention not considered in this study should be examined and given a chance as the three techniques considered in this study explained less than twenty percent (19.94%) of variation in fraud prevention in Nigerian banks, leaving over eighty percent to other techniques not captured in this study.
16
Alfordy, Faisal D. "EFFECTIVE DETECTION AND PREVENTION OF FRAUD: PERCEPTIONS AMONG PUBLIC AND PRIVATE SECTORS ACCOUNTANTS AND AUDITORS IN SAUDI ARABIA." E+M Ekonomie a Management 25, no. 3 (September 2022): 106–21. http://dx.doi.org/10.15240/tul/001/2022-3-007.
Full textAbstract:
Globalization has inevitably transmuted fraud into a transnational hazard and raised significant apprehensions. Fraud affects organizations worldwide irrespective of nature, size, profitability, or industry. The pervasive nature of fraud serves a premise to study the menace further. Hence, this research investigated the perceptions among accountants and auditors on the effectiveness of fraud detection and prevention by public and private Saudi organizations. This research presented an exploratory case study within the Saudi Arabian social, economic, and cultural environment. Data-gathering through inquiries and questionnaires were performed among accountants, internal and external auditors from public and private sectors. The results revealed that accountants and auditors in Saudi private and public firms were highly cognizant on fraud awareness, general guidelines, subsequent responsibilities, and reporting venues. In addition, both sectors were found to have invested extensively in fraud detection and prevention technologies. Also, employees were found not have been regularly trained on fraud prevention and detection. Furthermore, forensic accounting, being a relatively new genre in fraud detection and prevention, is found sparingly utilized among public and private sectors’ organizations. Forensic accounting is yet to be accorded adequate authority in the Saudi context, and was found superficially placed under the Saudi Organization of Certified Public Accountants (SOCPA). Despite qualification, experience, and age being recognized as key elements to Saudi accountants and auditors in fraud detection and prevention, lack of proper training leaves employees with limited dexterity and exposes them to legal repercussions. In general, the current legal infrastructure in Saudi Arabia needs to be revisited to improve effective detection and prevention of fraudulence. This study provided insights into the Saudi Arabian fraud detection & prevention, hardware, infrastructure, and human resources as the contributors of a fraud-free society.
17
Bartulović, Marijana. "Forensic accounting: state and development perspectives in the Republic of Croatia." Journal of Forensic Accounting Profession 1, no. 2 (December 1, 2021): 48–63. http://dx.doi.org/10.2478/jfap-2021-0008.
Full textAbstract:
Abstract Forensic accounting as a profession plays a major role in preventing and detecting frauds and almost in all areas of business there is a need for the services of forensic accountants. In modern conditions, when the whole world is struggling with the COVID-19 pandemic and the consequences it brings, an increase in the number of frauds is expected, which will result in an increase of demand for specially trained experts in the area of fraud prevention and detection. In this context, this paper emphasizes the role of forensic accountant in the fight against fraud and presents the occupational standard and qualification standard developed for this profession in the Republic of Croatia. The occupational standard identifies key jobs within the profession as well as the competences that a person needs to possess to successfully perform jobs within the profession.
18
Razaque, Abdul, Mohamed Ben Haj Frej, Gulnara Bektemyssova, Fathi Amsaad, Muder Almiani, Aziz Alotaibi, N. Z. Jhanjhi, Saule Amanzholova, and Majid Alshammari. "Credit Card-Not-Present Fraud Detection and Prevention Using Big Data Analytics Algorithms." Applied Sciences 13, no. 1 (December 21, 2022): 57. http://dx.doi.org/10.3390/app13010057.
Full textAbstract:
Currently, fraud detection is employed in numerous domains, including banking, finance, insurance, government organizations, law enforcement, and so on. The amount of fraud attempts has recently grown significantly, making fraud detection critical when it comes to protecting your personal information or sensitive data. There are several forms of fraud issues, such as stolen credit cards, forged checks, deceptive accounting practices, card-not-present fraud (CNP), and so on. This article introduces the credit card-not-present fraud detection and prevention (CCFDP) method for dealing with CNP fraud utilizing big data analytics. In order to deal with suspicious behavior, the proposed CCFDP includes two steps: the fraud detection Process (FDP) and the fraud prevention process (FPP). The FDP examines the system to detect harmful behavior, after which the FPP assists in preventing malicious activity. Five cutting-edge methods are used in the FDP step: random undersampling (RU), t-distributed stochastic neighbor embedding (t-SNE), principal component analysis (PCA), singular value decomposition (SVD), and logistic regression learning (LRL). For conducting experiments, the FDP needs to balance the dataset. In order to overcome this issue, Random Undersampling is used. Furthermore, in order to better data presentation, FDP must lower the dimensionality characteristics. This procedure employs the t-SNE, PCA, and SVD algorithms, resulting in a speedier data training process and improved accuracy. The logistic regression learning (LRL) model is used by the FPP to evaluate the success and failure probability of CNP fraud. Python is used to implement the suggested CCFDP mechanism. We validate the efficacy of the hypothesized CCFDP mechanism based on the testing results.
19
Almeida, Paulo S., and João J. C. Gondim. "Click Fraud Detection and Prevention System for Ad Networks." Journal of Information Security and Cryptography (Enigma) 5, no. 1 (January 27, 2019): 27. http://dx.doi.org/10.17648/jisc.v5i1.71.
Full textAbstract:
Click fraud detection consists of identifying the intention behind received clicks, given only technical data and context information. Reviewing concepts involved in click fraud practices and related work, a system that detects and prevents this type of fraud is proposed and implemented. The system is based and implemented on an ad network, one of the 3 main agents in the online ad environment, and for its validation, 3 servers were used, representing the publisher, the ad network with the system implemented and the announcer, and a bot that attempts to commit a click fraud.
20
Alfian, Nurul, Tarjo Tarjo, and Bambang Haryadi. "THE EFFECT OF ANTI FRAUD STRATEGY ON FRAUD PREVENTION IN BANKING INDUSTRY." Asia Pacific Fraud Journal 2, no. 1 (June 2, 2017): 61. http://dx.doi.org/10.21532/apfj.001.17.02.01.05.
Full textAbstract:
ABSTRACTThe purpose of this study is to examine the effect of anti fraud strategy on fraud preventionin in banking industry. The data are collected through questionnaires distributed to front liners, marketing, and back office. The sampling technique used is proportionale sampling method with 80 respondents. The research data are analysed using quantitative method, particularly explanatory research approach. In this regard, the researchers use Structural Equation Model (SEM) and Partial Least Square (PLS) with Warrpls 5.0 program. The findings of this study show that prevention pillar, detection pillar and investigation pillar have an effect on fraud prevention in banking industry.
21
Viviers, Suzette, and Danie Venter. "Fraud: An SMME perspective." Southern African Journal of Entrepreneurship and Small Business Management 1, no. 1 (December 31, 2008): 51. http://dx.doi.org/10.4102/sajesbm.v1i1.14.
Full textAbstract:
<p>Given the important socio-economic role performed by Small, Medium and Micro Enterprises (SMMEs) and the negative consequences of fraud on their businesses, the objective of this study was to investigate the perceptions and management of fraud by SMME owners/managers. Respondents were of the opinion that fraud is a serious and increasing problem in corporate South Africa and viewed ethics policy implementation and internal controls as important measures of fraud detection and prevention. Only 10 per cent of respondents, however, made provision in their budgets for combating fraud. It is recommended that SMME owners/managers gain more knowledge on inexpensive yet effective fraud detection and prevention measures.</p><p><strong>Key words and phrases:</strong> Small, Medium and Micro Enterprises (SMMEs), causes of fraud, fraud detection, fraud prevention, internal controls, ethics programmes.</p>
22
Mirinaviciene, Stacey. "INTERNAL CONTROL AND FRAUD PREVENTION: PRIOR RESEARCH ANALYSIS." Science and Studies of Accounting and Finance: Problems and Perspectives 9, no. 1 (November 25, 2014): 173–79. http://dx.doi.org/10.15544/ssaf.2014.19.
Full textAbstract:
The focus of this study is to analyze prior research on fraud detection and prevention. Most researchers agree that strong internal controls are an influencing factor on fair financial reporting and fraud prevention and detection. Financial statement and employee fraud can be very expensive to businesses and the economy as a whole. The establishment and evaluation of the internal control methods and procedures can decrease fraudulent events and losses. Accounting professionals, CPA’s, and tax preparers are the first to detect “red flags” in business activities and must work together with boards of directors, CFO’s, and small business owners. Simple methods, such as ratio analyses can help to signal early signs of fraudulent events and prevent future damages. Implementation of fraud prevention measures are the most efficient deterrent. Some of the most effective controls like, job rotation, mandatory vacations, training, fraud hotlines, and surprise audits, need not be expensive and should be employed by all businesses. Unfortunately, the most important and effective fraud prevention techniques are seldom applied by businesses. Surprisingly, the least effective and most expensive measures, like external audits, are more frequently employed. As reported in this review of the literature, most businesses focus on fraud detection, while fraud prevention and implementing proper internal controls would result in better prevention of financial losses.
23
Tantam, Mark. "The prevention and detection of computer fraud." Computer Fraud & Security Bulletin 1991, no. 3 (March 1991): 17–18. http://dx.doi.org/10.1016/0142-0496(91)90064-c.
Full text
24
Mangala, Deepa, and Pooja Kumari. "Auditors’ Perceptions of the Effectiveness of Fraud Prevention and Detection Methods." Indian Journal of Corporate Governance 10, no. 2 (November 27, 2017): 118–42. http://dx.doi.org/10.1177/0974686217738683.
Full textAbstract:
Fraud has emerged as an undesirable offshoot of human greed and pressure to perform in growing corporate world. It has led to erosion of stakeholders’ confidence across the globe. Now, they see the annual reports and other corporate filings with scepticism. Despite increasing instances of fraud, the anti-fraud mechanism of the business organisations is not up-to-date. The present study aims to examine the effectiveness of fraud detection and prevention methods used by corporate sector. A survey of 336 auditors seeking their perception about effectiveness of various anti-fraud methods has been conducted. The findings reveal that corporate governance is the most effective tool against fraud. Use of information technology, timely audit, regular inspection and corporate policies and procedures, also, play a vital role in curbing fraudulent practices in an organisation. Thus, the findings suggest that expenditure on effective anti-fraud methods should not be viewed as an expense; instead, it must be considered as an investment as it saves from the potential losses due to fraud and damage to business stability, revenue and image.
25
Krambia Kapardis, Maria, and Konstantinos Papastergiou. "Fraud victimization in Greece: room for improvement in prevention and detection." Journal of Financial Crime 23, no. 2 (May 3, 2016): 481–500. http://dx.doi.org/10.1108/jfc-02-2015-0010.
Full textAbstract:
Purpose The purpose of this paper is to investigate fraud victimisation of Greek companies during the financial crisis years. Moreover, the paper seeks to encourage the implementation of proactive and reactive measures in an effort to minimize fraud victimisation. Design/methodology/approach Drawing on an extensive literature review and utilising a questionnaire administered by Krambia-Kapardis and Zopiatis (2010), auditors and management of companies who had fallen victim to fraud provided information on the typology of fraud and on proactive and reactive measures taken after a fraud incident had been reported to them. Both descriptive and inferential statistics were utilized to analyze the collected data and address the postulated research questions. Findings The survey has found that no industry or size of company is immune from fraud, with bigger companies and small- and medium-sized enterprises (SMEs) falling victim to industrial espionage and theft of cash and counterfeit, respectively. The banking and insurance sector appeared to be affected mainly by money laundering. Management fraud was mainly in the form of window dressing, whilst employee fraud involved predominately theft of cash and assets. Loss of reputation emerged as the main concern for the victim, and it had a determining impact on deciding not to report cases to the police. Research limitations/implications Because of the sensitive topic being investigated and despite having assured the respondents that their anonymity would be guaranteed, the respondents were hesitant in responding. Thus, the response rate was 16.4 per cent, slightly lower than a similar study carried out in Cyprus (Krambia-Kapardis and Zopiatis 2010). The findings, however, are considered to be reliable, given the fact that the respondents were individuals well versed with the topic under investigation and in a position to know if their company had fallen victim to fraud. Practical implications The findings have practical relevance to both industry stakeholders and academics who wish to further explore fraud victimization in the Greek business environment. Given that the financial crisis in Greece is continuing, fraud risk assessment ought to concentrate in the area of cash, and preventative measures need to be considered by the regulators and the victims. Originality/value Whilst fraud victimisation studies are becoming popular by the Big 4 accounting firms, there is no fraud victimisation study concentrating on the typology of fraud in Greece. With this survey, it will be possible to draw conclusions and make suggestions to the accounting profession on how to combat fraud, at a time, when the economic crisis is persisting and fraud is expected to escalate.
26
Li, Kaodui, Osei-Assibey Mandella Bonsu, Kwabena Evans Asare, Beraud Jean-Jacques Dominique, and Boadi Johnson. "Accountants Perception on Effectiveness of Corporate Fraud Detection and Prevention Methods in Ghana." International Journal of Accounting and Financial Reporting 8, no. 3 (July 24, 2018): 78. http://dx.doi.org/10.5296/ijafr.v8i3.13398.
Full textAbstract:
The purpose of the study is to find out the perceptions of Accountants and Auditors on effectiveness of corporate fraud detection and prevention methods among selected financial Institutions in Ghana. The population samples of the study comprising Accountants and Auditors in a selected financial Institutions in Ghana using a structured survey of questionnaires.It was revealed in the study that, organizational quite utilized data mining, digital analysis, internal Control and improvement and fraud prevention and detection training in combating fraud. However, the findings also shows that, organization use of password protection, Cash Review, Annual Auditing, Whistle blowing policy were less often utilized even though having the highest rating of effectiveness. Accountants, Auditors and management of Financial Organizations should considering using the most effective prevention and detection methods like Cash Review, Annual Auditing, whistle blowing and installation of Password protection on computers based on the findings.The study contributes to the literature on the effectiveness of fraud detection and prevention methods particularly for West African Countries and other emerging nations. The study may be terrific to Practitioners regarding the assessment of the contemporary level of fraud detection and prevention methods on financial Institutions in Ghana and beyond.
27
Lyu, Qiuyun, Hao Li, Renjie Zhou, Jilin Zhang, Nailiang Zhao, and Yan Liu. "BCFDPS: A Blockchain-Based Click Fraud Detection and Prevention Scheme for Online Advertising." Security and Communication Networks 2022 (April 29, 2022): 1–20. http://dx.doi.org/10.1155/2022/3043489.
Full textAbstract:
Online advertising, which depends on consumers’ click, creates revenue for media sites, publishers, and advertisers. However, click fraud by criminals, i.e., the ad is clicked either by malicious machines or hiring people, threatens this advertising system. To solve the problem, many schemes are proposed which are mainly based on machine learning or statistical analysis. Although these schemes mitigate the problem of click fraud, several problems still exist. For example, some fraudulent clicks are still in the wild since their schemes only discover the fraudulent clicks with a probability approaching but not 100%. Also, the process of detecting a click fraud is executed by a single publisher, which makes a chance for the publisher to obtain illegal income by deceiving advertisers and media sites. Besides, the identity privacy of consumers is also exposed because the schemes deal with the plain text of consumers’ real identity. Therefore, in this paper, a blockchain-based click fraud detection and prevention scheme (BCFDPS) for online advertising is proposed to deal with the above problems. Specifically, the BCFDPS mainly introduces bilinear pairing to implicitly verify whether a consumer’s real digital identity is contained in a click message to significantly avoid click fraud and employs a consortium blockchain to ensure the transparency of the detection and prevention process. In our scheme, the clicks by machines or fraud ones by a human can be accurately detected and prevented by media sites, publishers, and advertisers. Furthermore, ciphertext-policy attribute-based encryption is adopted to protect the identity privacy of consumers. The implementation and evaluation results show that compared with the existing click fraud detection and prevention schemes based on machine learning and statistical analysis, BCFDPS achieves detection of each fraudulent click with a probability of 100% and consumes lower computation cost; furthermore, BCFDPS adds functions of consumers’ privacy protection and click fraud detection and prevention, compared to the existing blockchain-based online advertising scheme, by introducing limited communication cost ( 4,984 bytes) at lower storage cost.
28
Muhamed, Shatha Jassim. "Detection and Prevention WEB-Service for Fraudulent E-Transaction using APRIORI and SVM." Al-Mustansiriyah Journal of Science 33, no. 4 (December 30, 2022): 72–79. http://dx.doi.org/10.23851/mjs.v33i4.1242.
Full textAbstract:
With the increased use of information technology, many financial services are available to users at their fingertips. However, this led to many fraud transactions. Automatic fraud identification and detection could improve the user experience and security of online transactions. Using machine learning algorithms, it is possible to detect fraud transactions. Machine learning algorithms have the ability to find the hidden implicit pattern and data relationships from a large dataset. Hence, using this algorithm is possible to detect the outlier from all transactions, which can help in determining the fraud transaction. In this paper, the APRIORI algorithm and Support Vector Machine are used to detect fraud transactions in credit cards via developing a secure web application service enforced the security by standard metrics. We compare the result with the other existing machine learning algorithms. We observed that the accuracy of fraud transaction detection is higher in the proposed algorithm more than 94.56, and the false fraud transaction detection is less than the fraud detection based on the Hidden Markov Model.
29
Jalil, Fitri Yani. "Internal Control, Anti-Fraud Awareness, and Prevention of Fraud." ETIKONOMI 17, no. 2 (August 10, 2018): 297–306. http://dx.doi.org/10.15408/etk.v17i2.7473.
Full textAbstract:
Fraud is a serious threat to the organization and should prevent as early as possible. The prevention and detection of fraud is the responsibility of management. The fraud experts estimate that the fraud that has revealed is a small part of all the actual fraud that occurred. Therefore, the main effort is on prevention. This study aims to determine the effect of internal controls and anti-fraud awareness in the prevention of fraud. The samples used were employees of UIN Syarif Hidayatullah Jakarta. Data were analyzed using multiple regressions. The results showed that the internal control does not affect the prevention of fraud. Meanwhile, the anti-fraud awareness significant positive effect on the prevention of fraud. The results of this study are not yet entirely following the conditions at UIN Syarif Hidayatullah Jakarta. UIN Syarif Hidayatullah Jakarta has the concept of internal control and fraud prevention is good, but not yet implemented correctly by all parties. There are still some things that need to be improved practice, for example regarding employee performance evaluation, and program promotion of employees.DOI: 10.15408/etk.v17i2.7473
30
Yusti, Malinda, Triyadi Triyadi, and Dona Ramadhan. "Analysis of the Root Causes of Fraud Using Risk Causal and Fraud Diamond Matrix: A Case Study on Retail Financing Company." Asia Pacific Fraud Journal 6, no. 1 (June 30, 2021): 159. http://dx.doi.org/10.21532/apfjournal.v6i1.202.
Full textAbstract:
Fraud risk management strategies can be carried out in three stages: prevention, detection, and response, but the most efficient stage is prevention. Fraud is part of operational risk which is defined as the risk of loss caused by the failure or inadequacy of internal processes, people, systems or technology, and external events. The perpetrators of fraud can also be analyzed using the fraud motivation model. This study aims to use the results of detection and response as input for the prevention stage using root cause analysis. This study uses the Risk Causal and Fraud Diamond (RCFD) Matrix as an analytical tool to determine the dominant root cause. This study uses 300 data samples and categorizes the root causes of fraud in the RCFD Matrix. The results show that there are three dominant root causes: 3.O System & Technology - Opportunity, 2.O Internal Process - Opportunity, and 1.P People - Pressure. These results provide recommendations for fraud prevention strategies to effectively reduce or eliminate the dominant root cause.
31
Dzomira, Shewangu. "Digital forensic technologies as e-fraud risk mitigation tools in the banking industry: Evidence from Zimbabwe." Risk Governance and Control: Financial Markets and Institutions 4, no. 2 (2014): 116–24. http://dx.doi.org/10.22495/rgcv4i2c1art4.
Full textAbstract:
The paper investigates digital analytical tools and technologies used in electronic fraud prevention and detection, used in the banking industry. The paper is based on a descriptive study which studied digital forensics and cyber fraud phenomenon using content analysis. To obtain the data questionnaires and interviews were administered to the selected informants from 22 banks. Convenience and judgemental sampling techniques were used. It was found out that fraud detection and prevention tools and technologies would be most effective way of combating e-fraud if they can be utilized. It is concluded that banking institutions should reshape their anti-fraud strategies to be effective by considering fraud detection efforts using advanced analytics and related tools, software and application to get more efficient oversight.
32
Liu, Jian, Xin Gu, and Chao Shang. "Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data." Complexity 2020 (December 23, 2020): 1–11. http://dx.doi.org/10.1155/2020/6685888.
Full textAbstract:
At present, there are more and more frauds in the financial field. The detection and prevention of financial frauds are of great significance for regulating and maintaining a reasonable financial order. Deep learning algorithms are widely used because of their high recognition rate, good robustness, and strong implementation. Therefore, in the context of e-commerce big data, this paper proposes a quantitative detection algorithm for financial fraud based on deep learning. First, the encoders are used to extract the features of the behaviour. At the same time, in order to reduce the computational complexity, the feature extraction is restricted to the space-time volume of the dense trajectory. Second, the neural network model is used to transform features into behavioural visual word representations, and feature fusion is performed using weighted correlation methods to improve feature classification capabilities. Finally, sparse reconstruction errors are used to judge and detect financial fraud. This method builds a deep neural network model with multiple hidden layers, learns the characteristic expression of the data, and fully depicts the rich internal information of the data, thereby improving the accuracy of financial fraud detection. Experimental results show that this method can effectively learn the essential characteristics of the data, and significantly improve the detection rate of fraud detection algorithms.
33
Wilson, Paul. "Academic Fraud." Exchanges: The Interdisciplinary Research Journal 7, no. 3 (June 24, 2020): 14–44. http://dx.doi.org/10.31273/eirj.v7i3.546.
Full textAbstract:
Academic fraud is a rising threat. Schemes to defraud funding bodies, institutions and researchers for personal gain are not a modern invention within academia but one that threatens to topple the integrity of research practice. These manifest in the form of internal research misconduct and external predatory practice, the former perpetrated by the over-ambitious and the latter by organizations predating on unsuspecting researchers. Such academic fraud can undermine academic integrity, profoundly influence key legislation, and cause societal damage. Major reform of the academic system is required to overcome these difficulties. These measures are discussed and can be divided into detection and prevention methods. Detection methods include peer-review, replication, whistle-blowing, external review bodies, digital solutions, and incentivization. Prevention methods include awareness, data repositories, institutional and editorial policies, punishment and deterrence, transparency indices, and changes to the ‘publish or perish’ mentality. These solutions are as of yet immature, flawed or in need of major revision but do have some potential in overcoming the rising threat of academic fraud.
34
Mamahit, Atrisia Inayati, and Dekar Urumsah. "The Comprehensive Model of Whistle-Blowing, Forensic Audit, Audit Investigation, and Fraud Detection." Journal of Accounting and Strategic Finance 1, no. 2 (November 30, 2018): 153–62. http://dx.doi.org/10.33005/jasf.v1i2.43.
Full textAbstract:
Fraud is a problem that has never been resolved from year to year. One type of fraud that often occurs in the government sector is corruption. Various attempts have been made by the government to detect fraud, but the efforts that have been made have not been effective in reducing fraud. This study aims to propose a conceptual model for detecting fraud by linking whistle-blowing, forensic audits, and investigation audits. The conceptual model of this research is expected to provide input to managers and decision makers regarding the factors that need to be considered in improving fraud detection so that in the future fraud prevention methods will be better and better.
35
Anon, Anon. "Forensic Audit: Tool for Fraud Detection & Prevention." Management Accountant Journal 56, no. 10 (October 31, 2021): 6. http://dx.doi.org/10.33516/maj.v56i10.6-6p.
Full text
36
Bierstaker, James L., Richard G. Brody, and Carl Pacini. "Accountants' perceptions regarding fraud detection and prevention methods." Managerial Auditing Journal 21, no. 5 (June 2006): 520–35. http://dx.doi.org/10.1108/02686900610667283.
Full text
37
Harris, Geoffrey. "Security and Fraud: Strategies for Prevention and Detection." Logistics Information Management 4, no. 3 (March 1991): 36–41. http://dx.doi.org/10.1108/eum0000000002882.
Full text
38
Ann Riney, Felicia. "Two-Step Fraud Defense System: Prevention and Detection." Journal of Corporate Accounting & Finance 29, no. 2 (April 2018): 74–86. http://dx.doi.org/10.1002/jcaf.22336.
Full text
39
Hermanson, Dana R., Scot E. Justice, Sridhar Ramamoorti, and Richard A. Riley. "Unique Characteristics of Predator Frauds." Journal of Forensic Accounting Research 2, no. 1 (April 1, 2017): A31—A48. http://dx.doi.org/10.2308/jfar-51747.
Full textAbstract:
ABSTRACT Previous research has called for examination of differences in the fraud profile between “predator” fraudsters (repeat offenders) and “situational” fraudsters (first-time offenders). Using data from nearly 2,800 fraud cases included in the Association of Certified Fraud Examiners' Report to the Nations database, we identify unique characteristics of predator frauds. In the primary analysis, we find that predator fraudsters are less likely to be in leadership positions, are less educated, and tend to target smaller companies, while appearing less likely to target public companies. Predator frauds are shorter, but more costly overall, and there is some evidence that predator frauds are more likely to involve asset misappropriation or corruption. We also present exploratory analyses of “possible predators,” first-time offenders who strike the organization early in their tenure. Overall, the data suggest that predators and situational fraudsters are fundamentally different on several dimensions. Based on the results, we discuss implications related to fraud prevention and detection, as well as directions for future research.
40
Minaryanti, Annisa Adha, and Mochammad Ridwan. "Tanggung Jawab Pendeteksian Kecurangan sebagai Pencegahan Kegagalan Audit (Studi pada Kantor Akuntan Publik di Jakarta)." TRIKONOMIKA 14, no. 1 (June 27, 2015): 57. http://dx.doi.org/10.23969/trikonomika.v14i1.592.
Full textAbstract:
This study aims to determine how the impact of fraud detection responsibility to the prevention of audit failure are. The object of this study includes responsibility of fraud detection as an independent variable whose influence the dependent variable (dependent), called the audit failure prevention. Method used in this study is the Correlative relationship research method, alongside the clausal relation as the type of relation between variable studied in this study. These variables were analyzing using the descriptive statistics and regression to test the hypothesis. The data collected obtained through questionnaires and auditors as respondents at Accounting Firm in Jakarta. After obtaining data, results tended to show that responsibility for fraud detection have significant effect on the audit failure prevention.
41
Donegan, James J., and Michele W. Ganon. "Strain, Differential Association, and Coercion: Insights from the Criminology Literature on Causes of Accountant's Misconduct." Accounting and the Public Interest 8, no. 1 (January 1, 2008): 1–20. http://dx.doi.org/10.2308/api.2008.8.1.1.
Full textAbstract:
This paper introduces to the accounting literature two prominent criminology theories, strain and differential association, as possible explanations for criminal behavior by accountants and applies a recent integration of the two, coercion theory, to three recent financial statement frauds. We argue that understanding and preventing fraudulent accounting can be furthered by placing the phenomenon within the context of criminology research, which supports both individual and group-level explanations for white-collar crime. We also suggest that the American Institute of Certified Public Accountants (AICPA) moved too quickly in adopting Cressey's fraud triangle as the explanatory model for financial fraud in Statement on Auditing Standards (SAS) No. 99. Our analysis, although exploratory in nature, suggests that examining financial statement fraud through the lens provided by criminology theory may provide new insights into its causes as well as tools for detection and prevention. We conclude with a discussion of policy implications.
42
Yanti, Harti Budi. "PEMAHAMAN AUDITOR TENTANG SKEMA KECURANGAN, RED FLAGS, MEKANISME DETEKSI DAN MEKANISME PREVENTIF KECURANGAN." Media Riset Akuntansi, Auditing dan Informasi 13, no. 3 (May 3, 2017): 31. http://dx.doi.org/10.25105/mraai.v13i3.1748.
Full textAbstract:
<p>This study aims to determine the auditor’s understanding of the fraud scheme,<br />indication of fraud, mechanism detection of fraud prevention mechanisms. This<br />study uses primary data obtained through questionnaires. Totaled of 275<br />respondents from BPK auditors, internal auditors and external auditors in<br />Jakarta. Fraud schemes are classified into three groups, cheating scheme of<br />corruption, misappropriation of assets and fraudulent financial statements.<br />Research results revealed that the majority of the auditors have to understand<br />the fraud scheme with a good criteria, in the scheme of corruption,<br />misappropriation of assets and fraudulent financial statements.<br />Keywords: scheme of fraud, corruption, misappropriation of assets, fraud<br />financial statements, the detection mechanism, and the preventive<br />mechanism</p>
43
Madkaikar, Kartik, Manthan Nagvekar, Preity Parab, Riya Raika, and Supriya Patil. "Credit Card Fraud Detection System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (July 30, 2021): 158–62. http://dx.doi.org/10.35940/ijrte.b6258.0710221.
Full textAbstract:
Credit card fraud is a serious criminal offense. It costs individuals and financial institutions billions of dollars annually. According to the reports of the Federal Trade Commission (FTC), a consumer protection agency, the number of theft reports doubled in the last two years. It makes the detection and prevention of fraudulent activities critically important to financial institutions. Machine learning algorithms provide a proactive mechanism to prevent credit card fraud with acceptable accuracy. In this paper Machine Learning algorithms such as Logistic Regression, Naïve Bayes, Random Forest, K- Nearest Neighbor, Gradient Boosting, Support Vector Machine, and Neural Network algorithms are implemented for detection of fraudulent transactions. A comparative analysis of these algorithms is performed to identify an optimal solution.
44
Yuliastina, Mellani, Muhammad Hudaya, and Wahyudin Nor. "PREVENTION AND DETECTION OF FRAUD IN VILLAGE FUND SUPERVISION IN BARITO KUALA DISTRICT." Assets: Jurnal Akuntansi dan Pendidikan 9, no. 2 (October 29, 2020): 156. http://dx.doi.org/10.25273/jap.v9i2.4941.
Full textAbstract:
<p class="JurnalASSETSABSTRAK"><strong>ABSTRACT</strong></p><p>The purpose of this study is to map the pattern of the village fund supervision system and detect the possibility of loopholes in the system. So that it can provide recommendations for strategy formulations that are able to prevent fraud in village fund management. This research uses qualitative methods with a case study research strategy. The results showed that there was no fraud found in the three research objects, but the potential for fraud still exists and can change to be fraud due to lack coordination of supervision between related institutions and unsolid whistleblowing system. This paper offers strengthening internal control and whistleblowing system to address issues concerning the village fund supervision system.</p><p class="JurnalASSETSABSTRAK"><strong><em>ABSTRAK</em></strong><em></em></p><p><em>Tujuan penelitian ini adalah memetakan pola sistem pengawasan dana desa dan mendeteksi kemungkinan adanya celah (loopholes) fraud dari sistem tersebut sehingga dapat memberikan rekomendasi strategi yang mampu mencegah tindakan fraud pada pengelolaan dana desa. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus. Hasil penelitian menunjukkan bahwa tidak ada fraud yang ditemukan pada tiga objek penelitian, tetapi potensi fraud eksis dan bisa mengubah pada kondisi yang yang menyebabkan terjadinya fraud akibat belum optimalnya koordinasi pengawasan antar lembaga dan belum solidnya sistem whistleblowing yang dimplementasikan. Paper ini menawarkan penguatan pengendalian internal dan whistleblowing system yang terintegrasi agar permasalahan sistem pengawasan dana desa bisa diselesaikan dengan baik.</em></p>
45
Nusantara, Ari Fahimatussyam Putra, Gugus Irianto, and Yeney Widya Prihatiningtias. "Fraud prevention and detection practices in the perspective of Jember Regency internal auditor." International Journal of Research in Business and Social Science (2147- 4478) 9, no. 4 (July 11, 2020): 377–84. http://dx.doi.org/10.20525/ijrbs.v9i4.775.
Full textAbstract:
This study aims to understand the practice of fraud prevention and detection by government internal auditors in Jember Regency. This study uses interpretive qualitative research methods with an ethnomethodology approach. Data collection was carried out through interviews with six supervisors/auditors as key informants. The results of this study show that fraud prevention by the Jember Regency internal auditor is carried out in the consulting activities and reviewing the work plan and budget (Rencana Kerja dan Anggaran, RKA) of Regional Government Organization (Organisasi Perangkat Daerah, OPD). The detection of fraud by the Jember Regency internal auditor is carried out through regular audits and community complaint services, where the community complaint service will be explored by the Jember Regency internal auditor by conducting a special inspection. Thus, the results of this study show that the government's internal auditors have an important role in fraud prevention.
46
Mansour, Ala'a Zuhair, Aidi Ahmi, and Oluwatoyin Muse Johnson Popoola. "The Personality Factor of Conscientiousness on Skills Requirement and Fraud Risk Assessment Performance." International Journal of Financial Research 11, no. 2 (March 16, 2020): 405. http://dx.doi.org/10.5430/ijfr.v11n2p405.
Full textAbstract:
The study examines the moderation effect of the personality factor of conscientiousness on the relationship between skills (forensic accountant and auditor) and fraud risk assessment task performance in the Jordanian public sector. The forensic accountant skills denote enhanced level of capability purposely required to collect evidence in respect of fraud prevention, detection, deterrence as well as response. Whereas, the auditing standards require auditors to make available realistic guarantees in terms of sufficiency and reliability that the financial statements as a whole are free from material misstatements arising from fraud or error. Despite efforts by the government in reducing cases of fraud through a measure of reforms such as the establishment and strengthening of accountability organs and promoting global best practices for corporate organisations, fraud and financial crimes in the public sector of Jordan are still increasing. Hence, this paper develops a conceptual framework to investigate the moderating effect of conscientiousness on skills requirements and fraud risk assessment performance. The study will assist the forensic accountants and auditors working as regulators in the public sector environment concerning fraud prevention, detection, and response. It also creates awareness among accounting information users in the public sector. The paper contributes to the literature on personality factors of conscientiousness, auditing and forensic accounting, enhanced capability skills requirement, and competence (fraud risk assessment performance) by forensic accountants and auditors about fraud prevention, detection, and response in the Jordanian public sector.
47
Ramadhan, Dona. "Strengthening Integrity and Fraud Awareness in Preventing Fraud During the Covid-19 Pandemic." Asia Pacific Fraud Journal 7, no. 2 (December 25, 2022): 213. http://dx.doi.org/10.21532/apfjournal.v7i2.266.
Full textAbstract:
The Covid-19 pandemic has impacted almost all socio-economic and business aspects. Changes in interaction patterns and a decrease in income lead to a higher potential for fraud risk. Management needs to take effective ways to mitigate fraud, especially fraud prevention as the most efficient strategy. This paper aims to explore and manage new challenges in terms of fraud risk related to the Fraud Triangle in non-digital financing companies. Using a quantitative approach, this study examines the effect of integrity and fraud awareness on fraud prevention according to the perception of the fraud detection team. 67 samples were collected and processed through PLS regression. The results show that R2 value is 0.592; integrity t-score is 3.315, p-value is 0.001; Fraud Awareness t-score is 2.119, p-value is 0.0341. Thus, integrity and fraud awareness have a positive and significant effect on fraud prevention in non-digital financing companies. However, there are some limitations that need to be investigated further, such as measurements for other fraud prevention strategies, other financial institutions, and other business industries that have been negatively affected by the Covid-19 pandemic.
48
Khlevna, Iuliia L., and Bohdan S. Koval. "DEVELOPMENT OF THE AUTOMATED FRAUD DETECTION SYSTEM CONCEPT IN PAYMENT SYSTEMS." Applied Aspects of Information Technology 4, no. 1 (April 10, 2021): 37–46. http://dx.doi.org/10.15276/aait.01.2021.3.
Full textAbstract:
The paper presents the demand for the spread of payment systems. This is caused by the development of technology. The open issue of application of payment systems - fraud - is singled out. It is established that there is no effective algorithm that would be the standard for all financial institutions in detecting and preventing fraud. This is due to the fact that approaches to fraud are dynamic and require constant revision of forecasts. Prospects for the development of scientific and practical approaches to prevent fraudulent transactions in payment systems have been identified. It has been researched that machine learning is appropriate in solving the problem of detecting fraud in payment systems. At the same time, the detection of fraud in payment systems is not only to build the algorithmic core, but also to build a reliable automated system, which in real time, under high load, is able to control data flows and effectively operate the algorithmic core of the system. The paper describes the architecture, principles and operation models, the infrastructure of the automated fraud detection mechanism in payment systems. The expediency of using a cloud web service has been determined. The deployment of the model in the form of automated technology based on the Amazon Web Services platform is substantiated. The basis of the automated online fraud detection system is Amazon Fraud Detector and setting up payment fraud detection workflows in payment systems using a customizable Amazon A2I task type to verify and confirm high-risk forecasts. The paper gives an example of creating an anomaly detection system on Amazon DynamoDB streams using Amazon SageMaker, AWS Glue and AWS Lambda. The automated system takes into account the dynamics of the data set, as the AWS Lambda function also works with many other AWS streaming services. There are three main tasks that the software product solves: prevention and detection of fraud in payment systems, rapid fraud detection (counts in minutes), integration of the software product into the business where payment systems and services are used (for example, payment integration services in financial institutions, online stores, logistics companies, insurance policies, trading platforms, etc.). It is determined that the implementation of an automated system should be considered as a project. The principles of project implementation are offered. It is established that for the rational implementation of the project it is necessary to develop a specific methodology for the implementation of the software product for fraud detection in payment systems of business institutions.
49
Rosli, Razif, Intan Salwani Mohamed, Nafsiah Mohamed, Rohana Othman, and Nabilah Rozzani. "Development of Fraud Prevention (FP) Model Using the Theory of Planned Behavior." Business and Economic Research 10, no. 3 (September 24, 2020): 311. http://dx.doi.org/10.5296/ber.v10i3.17313.
Full textAbstract:
Fraud is a global issue overwhelming all aspects of human economic and business activities as it poses potential threat of financial losses. Many detection and prevention mechanisms, such as internal control systems, operational audits, codes of conduct and forensic accounting have been applied in organizations aiming to effectively mitigate internal fraud activities. However, fraud is still occurring. This study is therefore aimed to develop a multidimensional theoretical model which explains factors (categorized under attitude, subjective norms and perceived behavioral controls) that influence Levers of Controls (LOC); how level of LOC could influence fraud prevention framework as well as whether LOC could mediate the relationship between planned behavioral variables and effective fraud prevention framework. Concerning more on the adoption and post-adoption stages regarding drivers of LOC, this study constructs a model in attempt to close the knowledge gaps found in prior studies. From literature review, theories relating with fraud prevention and behavioral controls were examined to identify knowledge gaps within previous measurements of effective fraud prevention framework. A multidimensional Fraud Prevention (FP) model is then developed by innovating the Theory of Planned Behavior (TPB).
50
Rupa, Dr J. Santosh. "Utilisation of Fraud Management System in Prevention of Financial Scam in the Banking Sector." Technoarete Journal on Accounting and Finance 1, no. 1 (November 6, 2022): 20–24. http://dx.doi.org/10.36647/tjaf/01.01.a005.
Full textAbstract:
In this research article, many different types of strong and sustainable viewpoints about fraud management systems will be highlighted appropriately, to make proper understandings. Moreover, it will be signified in this paper that, Fraud is characteristic of many approaches, it is an overall emphasis in the search for patterns for the detection of fraud. Data scientists, on the other hand, can prevent insurance fraud using algorithms to detect patterns and irregularities. In addition, Premium misallocation fraud, which is a mix-up of premiums, can entail fraud. Keyword : Fraud management system, corporate disclosure, financial department measurements