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Journal articles on the topic 'Social engineering attacks'

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1

Fahad, Jasim Alanezi. "Social Engineering Attacks." International Journal of Computer Science and Information Technology Research 11, no. 1 (2023): 68–70. https://doi.org/10.5281/zenodo.7656021.

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<strong>Abstract:</strong> Growth of technologies, interconnected systems and digitalization, securing data becomes a vital concern to governments and organizations. The value of data enforces these governments and organization to implement huge number of security controls to safeguard their data. In fact, no matter of security controls implemented, there is another important factor might cause attacks, data leakage or service interruption which is &ldquo;Human&rdquo;. Human is the main part of Social Engineering which is the art of manipulating people to obtain sensitive information. This typ
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Manukyan, Lilit, and Mariam Gevorgyan. "Social Engineering Attacks: How to Prevent." Journal of Digital Science 6, no. 1 (2024): 28–35. http://dx.doi.org/10.33847/2686-8296.6.1_3.

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We present the pervasive threat of social engineering attacks in cyber security. The article explores interdisciplinary perspectives, such as psychology and information technology discipline, the social engineering attack types, sequence and traits. Through an in-depth analysis of social engineering attacks, this paper aims to raise awareness about the evolving threat landscape and provides actionable strategies for effective prevention. Nowadays social engineering attacks are incredibly important for all mobile and computer users. Beyond spotting an attack, one can also be proactive about pri
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Yasin, Affan, Rubia Fatima, Lin Liu, Jianmin Wanga, Raian Ali, and Ziqi Wei. "Counteracting social engineering attacks." Computer Fraud & Security 2021, no. 10 (2021): 15–19. http://dx.doi.org/10.1016/s1361-3723(21)00108-1.

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Krombholz, Katharina, Heidelinde Hobel, Markus Huber, and Edgar Weippl. "Advanced social engineering attacks." Journal of Information Security and Applications 22 (June 2015): 113–22. http://dx.doi.org/10.1016/j.jisa.2014.09.005.

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Khlobystova, Anastasiia Olegovna. "Conceptual Model of the Social Engineering Attack Cycle: Modern Approaches and Software Prototype Architecture." Computer tools in education, no. 3 (August 20, 2021): 17–28. http://dx.doi.org/10.32603/2071-2340-2021-3-17-28.

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Social engineering attacks are one of the key problems of our time. Every year, their number and efficiency continue to grow. This paper provides an overview of existing studies devoted to the problem of protecting users from social engineering attacks. On the basis of the review, a conceptual model of the social engineering attack cycle and the architecture of a prototype software are proposed, the advantage of which over existing analogues is the account of the malefactor’s profile and a set of existing attack tools. The practical significance lies in creating a basis for developing a softwa
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Palaniappan, Sellappan, Rajasvaran Logeswaran, Shapla Khanam, and Pulasthi Gunawardhana. "Social Engineering Threat Analysis Using Large-Scale Synthetic Data." Journal of Informatics and Web Engineering 4, no. 1 (2025): 70–80. https://doi.org/10.33093/jiwe.2025.4.1.6.

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We frequently hear news about compromised systems, virus attacks, spam emails, stolen bank account numbers, and loss of money. Safeguarding and protecting digital assets against these and other cyber-attacks are extremely important in our digital connected world today. Many organizations spend substantial amounts of money to protect their digital assets. One type of cyber threat that is rampant these days is social engineering attacks that work on human psychology. These attacks typically persuade, convince, trick and threaten naïve and innocent individuals to divulge sensitive information to
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Salahdine, Fatima, and Naima Kaabouch. "Social Engineering Attacks: A Survey." Future Internet 11, no. 4 (2019): 89. http://dx.doi.org/10.3390/fi11040089.

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The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health r
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Rohini, Dr S. Gomathi Alias, Rajashree B, and Shubha Sree S. "Social Engineering Attacks in Cybersecurity." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 7590–94. https://doi.org/10.22214/ijraset.2025.72253.

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Abstract: In recent years, social engineering has become one of the most insidious forms of cyber attack, exploiting human vulnerabilities rather than technical flaws. This paper aims to dissect the landscape of social engineering attacks, especially in the context of recent developments during 2024 and 2025. With advancements in artificial intelligence and deepfake technologies, attackers now possess sophisticated tools to deceive, manipulate, and breach systems through human interaction. The study explores traditional and emerging types of social engineering tactics, including phishing, vish
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Ryan Triwahono, Dimas, Achmad Fauzi, Adzansyah Adzansyah, et al. "Pencegahan Penipuan Social Engineering pada Massa 4.0." Jurnal Ilmu Multidisplin 2, no. 1 (2023): 68–74. http://dx.doi.org/10.38035/jim.v2i1.232.

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This paper intends to explore three social design related online protection issues facing organizations and develop techniques to stop human trickery in friendly design attacks. Twenty experts in Branch Security Information Structures took part in a three-round Delphi study to unify and refine the feeling of high quality. The three rounds move the individual towards a setting for guidelines against attacks with friendly plans in affiliates. Three basic problems: compromised data; inadequate training; and the lack of sophisticated training drives the three target areas to apply best practices a
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Alhamad, Amal, Dalal Aldablan, and Raghad Albahlal. "Examination of Assorted Social Engineering Attack by Different Types of Machine Learning Algorithms." International Journal of Computer Science and Mobile Computing 10, no. 7 (2021): 56–60. http://dx.doi.org/10.47760/ijcsmc.2021.v10i07.008.

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The most powerful attack on the systems is Social Engineering Attack because of this attack deals with Psychology so that there is no hardware or software can prevent it or even can defend it and hence people need to be trained to defend against it.[1] Social engineering is mostly done by phone or email. In this research, which is based on previous research we have conducted, the aim of it was of it was to highlight the different social engineering attacks and how they can prevent in social network because social engineering is one of the biggest problems in social network, a concern the priva
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Naz, Anam, Madiha Sarwar, Muhammad Kaleem, Muhammad Azhar Mushtaq, and Salman Rashid. "A comprehensive survey on social engineering-based attacks on social networks." International Journal of ADVANCED AND APPLIED SCIENCES 11, no. 4 (2024): 139–54. http://dx.doi.org/10.21833/ijaas.2024.04.016.

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Threats based on social engineering in social networks are becoming a more common problem. Social engineering is a type of attack that relies on trickery and exploiting human psychology to gain access to confidential information or resources. It involves deceptive techniques like phishing, pretexting, and baiting, tricking individuals into revealing sensitive information or performing specific actions. These tactics can lead to unauthorized access to user accounts, identity theft, or the distribution of harmful content. This study offers a detailed review of threats related to social engineeri
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Femi, Asere Gbenga, Innocent L. Mangbon, and Jumbo Daniel. "SOCIAL ENGINEERING ATTACKS: TRENDS, DETECTION, AND PREVENTION." International Journal of Trendy Research in Engineering and Technology 09, no. 03 (2025): 39–44. https://doi.org/10.54473/ijtret.2025.9305.

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Social engineering attacks exploit human psychology to manipulate individuals into divulging sensitive information or performing actions that compromise security. This research explores the trends, detection methods, and prevention strategies associated with social engineering attacks, highlighting the evolving nature of these threats. As attackers increasingly use advanced technologies, including AI and deepfakes, to craft personalized and convincing attacks, the need for robust detection mechanisms is critical. Machine learning, natural language processing, and behavioral analytics are being
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MAPOKA, Trust Tshepo, Keneilwe ZUVA, Gaedupe KUKUMARA, Tebogo SEIPONE, and Tranos ZUVA. "Exploring Social Engineering Attacks Using Spear Phishing in a Universtiy." Eurasia Proceedings of Science Technology Engineering and Mathematics 24 (December 26, 2023): 21–28. http://dx.doi.org/10.55549/epstem.1406262.

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A thorough investigation of social engineering attacks was performed on the lab environment. Numerous users can be easily attacked through the use of illegitimate emails that may come from trusted users. Organizations often try to implement security measures but they remain susceptible to these attacks. The purpose of this study was to show that university students are at risk of being attacked. The deployment of a dedicated lab environment and the susceptibility of the network to countless social engineering attacks were completely assessed in a controlled lab environment. The targeted audien
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AKYEŞİLMEN, Nezir, and Amal ALHOSBAN. "Non-Technical Cyber-Attacks and International Cybersecurity: The Case of Social Engineering." Gaziantep University Journal of Social Sciences 23, no. 1 (2024): 342–60. http://dx.doi.org/10.21547/jss.1346291.

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This paper aims to provide an overview of social engineering attacks, and their impacts on cybersecurity, including national and international security, and figures out detection techniques, and major methods for countermeasure. How do social engineering attacks affect national and international security? And why is it so hard to cope with them? Seeking for answers to these questions, this paper applies qualitative research methods particularly literature review and case analysis. While qualitative research methods are predominantly employed, quantitative methods will also be utilized when dee
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Luo, Xin, Richard Brody, Alessandro Seazzu, and Stephen Burd. "Social Engineering." Information Resources Management Journal 24, no. 3 (2011): 1–8. http://dx.doi.org/10.4018/irmj.2011070101.

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Effective information systems security management combines technological measures and managerial efforts. Although various technical means have been employed to cope with security threats, human factors have been comparatively neglected. This article examines human factors that can lead to social engineering intrusions. Social engineering is a technique used by malicious attackers to gain access to desired information by exploiting the flaws in human logic known as cognitive biases. Social engineering is a potential threat to information security and should be considered equally important to i
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Rajalim, Suramyaa. "Understanding Human Vulnerabilities: A Study on Social Engineering Techniques in Cybersecurity." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1660–66. https://doi.org/10.22214/ijraset.2025.72502.

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Social engineering exploits human nature to bypass technical security controls and is thus a threatening cyber-attack. This paper explains common techniques such as phishing and pretexting, examines real-world examples, and explains why these attacks are successful. This highlights the need for user training and awareness in combating such attacks.
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Ye, Ziwei, Yuanbo Guo, Ankang Ju, Fushan Wei, Ruijie Zhang, and Jun Ma. "A Risk Analysis Framework for Social Engineering Attack Based on User Profiling." Journal of Organizational and End User Computing 32, no. 3 (2020): 37–49. http://dx.doi.org/10.4018/joeuc.2020070104.

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Social engineering attacks are becoming serious threats to cloud service. Social engineering attackers could get Cloud service custom privacy information or attack virtual machine images directly. Existing security analysis instruments are difficult to quantify the social engineering attack risk, resulting in invalid defense guidance for social engineering attacks. In this article, a risk analysis framework for social engineering attack is proposed based on user profiling. The framework provides a pathway to quantitatively calculate the possibility of being compromised by social engineering at
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Banire, Bilikis, Dena Al Thani, and Yin Yang. "Investigating the Experience of Social Engineering Victims: Exploratory and User Testing Study." Electronics 10, no. 21 (2021): 2709. http://dx.doi.org/10.3390/electronics10212709.

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The advent of mobile technologies and social network applications has led to an increase in malicious scams and social engineering (SE) attacks which are causing loss of money and breaches of personal information. Understanding how SE attacks spread can provide useful information in curbing them. Artificial Intelligence (AI) has demonstrated efficacy in detecting SE attacks, but the acceptability of such a detection approach is yet to be investigated across users with different levels of SE awareness. This paper conducted two studies: (1) exploratory study where qualitative data were collected
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19

Alseadoon, Ibrahim Mohammed. "The Benefit of Warning to Improve Detecting Social Engineering Attack Messages." International Journal of Future Computer and Communication 13, no. 3 (2023): 49–54. http://dx.doi.org/10.18178/ijfcc.2024.13.3.617.

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Social engineering attack messages are a constant threat to online services. Numerous scholars have attempted to solve this problem by understanding the interaction between users and social engineering attack messages. Users’ behavior and traits are crucial in making them immune to attacks. Specifically, studies have indicated that the mental process of detection has a tremendous effect on preventing users from becoming victims of attacks. Studies have also suggested that users need to think in a certain way to detect deception. Our study aims to determine the impact of warnings on users’ type
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Abdul, Shareef Pallivalappil, S. N. Jagadeesha, and Prasad K. Krishna. "Social Engineering Attacks on Facebook – A Case Study." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 5, no. 2 (2021): 299–313. https://doi.org/10.5281/zenodo.5765883.

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<strong>Background/Purpose: </strong><em>Facebook is an American business that offer online social networking services. Facebook was founded in 2004 by Harvard University freshmen Mark Zuckerberg, Eduardo Saverin, Dustin Moskovitz, and Chris Hughes. Free access to Facebook enables new users to create profiles, upload photos to existing groups, and start new ones. Every user&#39;s profile page has a Timeline area where they can upload material and their social network connections may reply with messages and Status updates informing them of their current location or condition. Additionally, Face
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Prasad Panda, Sibaram. "The Evolution and Defense Against Social Engineering and Phishing Attacks." International Journal of Science and Research (IJSR) 14, no. 5 (2025): 397–408. https://doi.org/10.21275/sr25504223645.

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Chetioui, Kaouthar, Birom Bah, Abderrahim Ouali Alami, and Ayoub Bahnasse. "Overview of Social Engineering Attacks on Social Networks." Procedia Computer Science 198 (2022): 656–61. http://dx.doi.org/10.1016/j.procs.2021.12.302.

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Adu-Gyimah, Samuel, George Asante, and Oliver Kufuor Boansi. "Social Engineering Attacks: A Clearer Perspective." International Journal of Computer Applications 184, no. 8 (2022): 53–62. http://dx.doi.org/10.5120/ijca2022922057.

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Olchowik, Monika. "Analysis and classification of chosen social engineering methods in cybersecurity." Przegląd Teleinformatyczny 9 (27), no. 1-4 (2022): 17–29. http://dx.doi.org/10.5604/01.3001.0016.2880.

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Cyberthreat landscape is everchanging and dynamically evolving. Tools, techniques and software are getting more and more intricate. In contrast social engineering methods have been used in various attacks long before computers have been created, yet they are as useful as before, even in cyberspace. Social engineering attacks are quite often successfully used by conmen and hackers, and as such are a constant part of cyberthreat landscape. In order to detect and prevent the usage of aforementioned techniques greater understanding and systematisation of the process is need. In this paper a classi
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Tulupieva, T. V., M. V. Abramov, and A. L. Tulupiev. "Model of Social Influence in Analysis of Socio-engineering Attacks." Administrative Consulting, no. 8 (October 15, 2021): 97–107. http://dx.doi.org/10.22394/1726-1139-2021-8-97-107.

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The purpose of this study is to study the modernization of the model of an attacker’s social engineering attack on a user, taking into account a wider range of factors influencing the success of a social engineering attack associated with the principles of social influence. Methods. To achieve this goal, the approaches to social influence and the components of social influence were analyzed. An integrated circuit of social influence is built, grounding in the context of socio-engineering attacks. Results. A model of social influence is proposed, built in the context of an attacker’s social eng
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Lopes, António, Henrique S. Mamede, Leonilde Reis, and Arnaldo Santos. "Common Techniques, Success Attack Factors and Obstacles to Social Engineering: A Systematic Literature Review." Emerging Science Journal 8, no. 2 (2024): 761–94. http://dx.doi.org/10.28991/esj-2024-08-02-025.

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Knowledge of Social Engineering is crucial to prevent potential attacks related to organizational Information Security. The objective of this paper aims to identify the most common social engineering techniques, success attack factors, and obstacles, as well as the good practices and frameworks that could be adopted concerning their mitigation. As an analysis methodology, a Systematic Literature Review was carried out. The findings revealed that the discussion about SE attacks has increased and that the most imminent threat is phishing. Exploiting human vulnerabilities is a growing threat when
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Marizu, Obi. "Social Engineering Attacks in US Healthcare: A Critical Analysis of Vulnerabilities and Mitigation Strategies." International Journal of Scientific Research and Management (IJSRM) 10, no. 09 (2022): 928–39. http://dx.doi.org/10.18535/ijsrm/v10i9.ec03.

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Social engineering attacks are increasingly becoming a serious threat to the US healthcare sector. These attacks exploit human psychology to manipulate individuals into disclosing sensitive information or performing actions that compromise security, rather than targeting technical vulnerabilities alone (Hadnagy, 2018). Given the vast amounts of personal and medical data managed by healthcare organizations, they present an attractive target for such attacks, making it crucial to understand and address these threats comprehensively (Smith &amp; Lee, 2023). This study investigates social engineer
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Shi, Zheyuan Ryan, Aaron Schlenker, Brian Hay, et al. "Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (2020): 13363–68. http://dx.doi.org/10.1609/aaai.v34i08.7050.

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Cyber adversaries have increasingly leveraged social engineering attacks to breach large organizations and threaten the well-being of today's online users. One clever technique, the “watering hole” attack, compromises a legitimate website to execute drive-by download attacks by redirecting users to another malicious domain. We introduce a game-theoretic model that captures the salient aspects for an organization protecting itself from a watering hole attack by altering the environment information in web traffic so as to deceive the attackers. Our main contributions are (1) a novel Social Engin
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Siddiqi, Murtaza Ahmed, Wooguil Pak, and Moquddam A. Siddiqi. "A Study on the Psychology of Social Engineering-Based Cyberattacks and Existing Countermeasures." Applied Sciences 12, no. 12 (2022): 6042. http://dx.doi.org/10.3390/app12126042.

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As cybersecurity strategies become more robust and challenging, cybercriminals are mutating cyberattacks to be more evasive. Recent studies have highlighted the use of social engineering by criminals to exploit the human factor in an organization’s security architecture. Social engineering attacks exploit specific human attributes and psychology to bypass technical security measures for malicious acts. Social engineering is becoming a pervasive approach used for compromising individuals and organizations (is relatively more convenient to compromise a human compared to discovering a vulnerabili
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N. Hiranmai. "CYBER ATTACKS AND HUMAN PSYCHOLOGY: THE ROLE OF SOCIAL ENGINEERING." international journal of engineering technology and management sciences 9, Special Issue 1 (2025): 111–14. https://doi.org/10.46647/ijetms.2025.v09si01.018.

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While software vulnerabilities are falling and cyber security is coming of age as the technologyadvances, individuals are more vulnerable than ever. Today, social as opposed to technologicalpenetration attempts rank among the most well-liked and effective; indeed, they are so effective thatthey are a central component in the majority of cyberattacks. The art of exploiting human frailtiesto gain a nefarious goal goes by the name of social engineering. Information security experts violatesecurity controls to access confidential information, especially by taking advantage of individuals'trust nat
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AlNusif, Mohammed. "Emerging Threats in Cybersecurity: A Comprehensive Analysis of DDoS and Social Engineering Attacks." International Journal of Engineering and Computer Science 14, no. 07 (2025): 27473–87. https://doi.org/10.18535/ijecs.v14i07.5185.

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In the rapidly evolving landscape of cybersecurity, organizations are increasingly vulnerable to two prominent forms of attacks: Distributed Denial of Service (DDoS) and Social Engineering. These attack vectors, while distinct in execution, share a common goal—disrupting the confidentiality, integrity, or availability of systems and data. This paper provides an in-depth exploration of both threats by examining their methodologies, real-world applications, and the socio-technical implications they present in digital infrastructure. Social Engineering exploits the psychological tendencies of ind
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Gift, Okpanachi Ugbede, Abiodun Esther Omolara, Aleshinloye Yusuf Abass, and Ebelogu Christopher Ubaka. "Social Engineering Awareness Evaluation in University of Abuja: A Pragmatic Approach." International Journal of Advances in Scientific Research and Engineering 10, no. 11 (2024): 01–15. https://doi.org/10.31695/ijasre.2024.11.1.

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Social Engineering is one of the most significant security threats facing organizational systems and data in today’s technology-saturated world. It is considered a challenge for security chains, and attacks are increasing sharply. The study aimed to assessthe level of Social Engineering Awareness within the University of Abuja through a Pragmatic Approach. A total of 101 participants took part in the survey and practical experiment. Results indicated a concerning lack of awareness, with 63% of respondents having no prior knowledge of Social Engineering and its attack vectors, while only 37% de
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Sokolov, Volodymyr Yu, and Davyd M. Kurbanmuradov. "METHOD OF COUNTERACTION IN SOCIAL ENGINEERING ON INFORMATION ACTIVITY OBJECTIVES." Cybersecurity: Education, Science, Technique, no. 1 (2018): 6–16. http://dx.doi.org/10.28925/2663-4023.2018.1.616.

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The article presents a study using attacks such as a fake access point and a phishing page. The previous publications on social engineering have been reviewed, statistics of break-ups are analyzed and directions and mechanism of realization of attacks having elements of social engineering are analyzed. The data from the research in three different places were collected and analyzed and the content statistics were provided. For comparison, three categories of higher education institutions were chosen: technical, humanitarian and mixed profiles. Since the research was conducted in educational in
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Aldawood, Hussain, and Geoffrey Skinner. "An Advanced Taxonomy for Social Engineering Attacks." International Journal of Computer Applications 177, no. 30 (2020): 1–11. http://dx.doi.org/10.5120/ijca2020919744.

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Sarriegi, Jose M., and Jose J. Gonzalez. "Conceptualising social engineering attacks through system archetypes." International Journal of System of Systems Engineering 1, no. 1/2 (2008): 111. http://dx.doi.org/10.1504/ijsse.2008.018134.

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Kaur, Simran, Himanshu Mishra, and Anuj Goyal. "Cyber-Security in UPI Payments." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4955–58. http://dx.doi.org/10.22214/ijraset.2023.52175.

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Abstract: Unified Payments Interface (UPI) is an innovative online banking system. Made inIndia has reached the peak of popularity ina short time wingspan. Growth in UPI alsoleads to higher data frequencies violate. Social engineering attacks are India's biggest security risk encountered duringconfinement (lockdown). Users of the Unified Payment Interface are Cyber criminals are easily enticed. These fraudsare not due to default in the UPI systems or interfaces, but are tactics to deceive customers. By the way of phishing, vishing, or smishing. Social engineering attack techniques are planned
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Ribeiro, Ricardo, Nuno Mateus-Coelho, and Henrique Mamede. "Improving Social Engineering Resilience In Enterprises." ARIS2 - Advanced Research on Information Systems Security 3, no. 1 (2023): 34–65. http://dx.doi.org/10.56394/aris2.v3i1.30.

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&#x0D; Social Engineering (SE) is a significant problem for enterprises. Cybercriminals continue developing new and sophisticated methods to trick individuals into disclosing confidential information or granting unauthorized access to infrastructure systems. These attacks remain a significant threat to enterprise systems despite significant investments in technical architecture and security measures. User awareness training and other behavioral interventions are critical for improving SE resilience. However, their effectiveness still needs to be determined, as personality traits may turn some
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Moinescu, R. "The use of semantic analysis in the identification of attacks based on social engineering techniques." Scientific Bulletin of Naval Academy XXVI, no. 2 (2023): 74–80. http://dx.doi.org/10.21279/1454-864x-23-i2-008.

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The need to detect attacks based on social engineering techniques has put researchers in the position of building different tools, observation grids or even theories able to capture different behaviors specific to simulated behavior. Although phishing is the main attack vector used in most cybersecurity offensive playbooks, the most effective attacks involve dialogue between the attacker and the target. This paper explores threat detection using semantic analysis performed with "Tropes" software.
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Gambhir, Priyanshu, Arpit Gupta, Nirjara Kulkarni, Satyam Kumar, and Jeeshu Dutta. "AI In Action Exploiting The Nexus Of Cybersecurity Attacks And Social Engineering." International Journal of Research Publication and Reviews 6, no. 3 (2025): 7862–70. https://doi.org/10.55248/gengpi.6.0325.12155.

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Oktavia, Taresa Vindy, A. Widjajarto, and Muhammad Fathinuddin. "Control Social Engineering Security and Spear Phishing Attacks with Technology Solutions in Organizations." Jurnal Indonesia Sosial Teknologi 6, no. 1 (2025): 277–88. https://doi.org/10.59141/jist.v6i1.1361.

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In the current digital era, protecting information and being alert to the risk of data leaks is very important, especially for confidential data. Efforts to maintain the confidentiality of this information can use appropriate technology to prevent potential security threats. Using Open Source Intelligence (OSINT) can play a role in reducing the risk of phishing attacks by utilizing technology-based methods that involve social engineering activities and implementing spear phishing experiments via email content. This is useful for identifying security weaknesses that must be fixed. This research
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Anil Kumar Pakina, Deepak Kejriwal, and Tejaskumar Dattatray Pujari. "Adversarial AI in Social Engineering Attacks: Large- Scale Detection and Automated Counter measures." International Journal Science and Technology 4, no. 1 (2025): 1–11. https://doi.org/10.56127/ijst.v4i1.1964.

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Social engineering attacks using AI-generated deepfake information leverage rare cybersecurity threat hunting. Conventional phishing detection and fraud prevention systems are failing to catch detection errors due to AI-generated social engineering in email, voice, and video content. To mitigate the increased risk of AI-driven social engineering attacks, a new multi-modal AI defense framework, incorporating Transfer Learning through pre-trained language models, deep fake sound analysis, and behavior-analysis systems capable of pinpointing AI generated social engineering attack, is presented. B
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Patel, Naiya. "SOCIAL ENGINEERING AS AN EVOLUTIONARY THREAT TO INFORMATION SECURITY IN HEALTHCARE ORGANIZATIONS." Jurnal Administrasi Kesehatan Indonesia 8, no. 1 (2020): 56. http://dx.doi.org/10.20473/jaki.v8i1.2020.56-64.

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Information security in healthcare settings is overlooked even though it is the most vulnerable for social engineering attacks. The theft of hospital information data is critical to be monitored as they contain patients’ confidential health information. If leaked, the data can impact patients’ social as well as professional life. The hospital data system includes administrative data, as well as employees’ personal information hacked, which can cause identity theft. The current paper discusses types and sources of social engineering attacks in healthcare organizations. Social engineering attack
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Syeda, Kawsar. "Social Engineering and Organizational Dependencies in Phishing Attacks." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 1 (2022): 1–5. https://doi.org/10.5281/zenodo.14881017.

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Phishing attacks are based on human feelings and mutual regions of dependency to violate the facts protection of an agency. This paper objectives to highlight the relationship among social engineering methods and structures with an accent on how cybercriminals use people in companies for phishing assaults In the examine, spear phishing, BEC attacks, and credential harvesting are defined in detail primarily based at the techniques and the issues within the organizational structures are recognized along with the measures to triumph over them. Stressing on cybersecurity awareness, technological s
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44

Kapusta, Roman, and Karyna Horiainova. "Integrated use of information resources protection against social engineering attacks." Problemi telekomunìkacìj, no. 2(35) (November 28, 2024): 47–63. https://doi.org/10.30837/pt.2024.2.04.

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The article analyzes the main types of social engineering attacks and their classification. An overview of the instruments for detecting and counteracting social engineering as a method of accessing confidential information is provided, and key tools for counteracting such attacks are proposed. Experiments are conducted to demonstrate the effectiveness of each tool in different types of attacks. Particular attention is paid to software tools that help minimize the risks and losses from social engineering attacks. A system of integrated use of security tools has been developed that provides alm
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45

Moinescu, Radu. "Study of social engineering attacks in Romania 2019." Scientific Bulletin of Naval Academy XXIII, no. 1 (2020): 263–70. http://dx.doi.org/10.21279/1454-864x-20-i1-037.

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Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. In recent years, cybercriminals have done everything in their power to be innovative. They are taking advantage of every aspect of our lives to develop new social engineering schemes. This paper provides an in-depth survey about the social engineering attacks that took place in Romania in 2019, their classifications, detection strategies, and prevention procedures.
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46

Karpova, Nadezhda E., and Igit I. Voskanyan. "Threat of social engineering and phishing in modern information security." Digital technology security, no. 2 (June 26, 2024): 69–78. http://dx.doi.org/10.17212/2782-2230-2024-2-69-78.

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Information is the most important resource of any company in our time, so ensuring its protection is one of the priority business tasks of each organization. Over the years, technical security systems have been increasingly improved through technological developments, the recording of multiple channels of information leakage and the growing need for information security in general. Well-designed technical protection systems will always perform the tasks assigned to them, but one single factor can make them useless – a person. People will remain human, with their weaknesses, prejudices, stereot
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Cletus, Azaabi, and Ussiph Najim. "Towards Securing Organizational Data against Social Engineering Attacks." International Journal of Computer Applications 180, no. 28 (2018): 28–34. http://dx.doi.org/10.5120/ijca2018916649.

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Syafitri, Wenni, Zarina Shukur, Umi Asma' Mokhtar, Rossilawati Sulaiman, and Muhammad Azwan Ibrahim. "Social Engineering Attacks Prevention: A Systematic Literature Review." IEEE Access 10 (2022): 39325–43. http://dx.doi.org/10.1109/access.2022.3162594.

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Azarov, Artur Alexandrovich, Elena Victorovna Brodovskaya, Anastasia Victorovna Vakhromeeva, et al. "Memes and social engineering attacks in virtual space." SPIIRAS Proceedings 7, no. 30 (2014): 88. http://dx.doi.org/10.15622/sp.30.7.

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Choi, Dongmin, Cheolheon Baek, and Ilyong Chung. "Virtual Keyboard against Social Engineering Attacks in Smartphones." Journal of Korea Multimedia Society 18, no. 3 (2015): 368–75. http://dx.doi.org/10.9717/kmms.2015.18.3.368.

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