Relevant bibliographies by topics / Cyber alerts

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Cyber alerts'

Author: Grafiati
Published: 10 January 2023
Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Cyber alerts.'

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.

Journal articles on the topic "Cyber alerts"

1

Chen, Haipeng, Andrew Duncklee, Sushil Jajodia, Rui Liu, Sean Mcnamara, and V. S. Subrahmanian. "PCAM: A Data-driven Probabilistic Cyber-alert Management Framework." ACM Transactions on Internet Technology 22, no. 3 (2022): 1–24. http://dx.doi.org/10.1145/3511101.

Full text
Abstract:
We propose PCAM , a Probabilistic Cyber-Alert Management framework, that enables chief information security officers to better manage cyber-alerts. Workers in Cyber Security Operation Centers usually work in 8- or 12-hour shifts. Before a shift, PCAM analyzes data about all past alerts and true alerts during the shift time-frame to schedule a given set of analysts in accordance with workplace constraints so that the expected number of “uncovered” true alerts (i.e., true alerts not shown to an analyst) is minimized. PCAM achieves this by formulating the problem as a bi-level non-linear optimiza
APA, Harvard, Vancouver, ISO, and other styles
2

Albasheer, Hashim, Maheyzah Md Siraj, Azath Mubarakali, et al. "Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey." Sensors 22, no. 4 (2022): 1494. http://dx.doi.org/10.3390/s22041494.

Full text
Abstract:
Network Intrusion Detection Systems (NIDS) are designed to safeguard the security needs of enterprise networks against cyber-attacks. However, NIDS networks suffer from several limitations, such as generating a high volume of low-quality alerts. Moreover, 99% of the alerts produced by NIDSs are false positives. As well, the prediction of future actions of an attacker is one of the most important goals here. The study has reviewed the state-of-the-art cyber-attack prediction based on NIDS Intrusion Alert, its models, and limitations. The taxonomy of intrusion alert correlation (AC) is introduce
APA, Harvard, Vancouver, ISO, and other styles
3

Almseidin, Mohammad, Mouhammad Alkasassbeh, Maen Alzubi, and Jamil Al-Sawwa. "Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation." Cryptography 6, no. 2 (2022): 24. http://dx.doi.org/10.3390/cryptography6020024.

Full text
Abstract:
This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with the deficiencies of the knowledge-based representation and the binary decision. The suggested detection method was performed using Fuzzy Rule Interpolation (FRI). The FRI reasoning methods added the benefit of enhancing the robustness of fuzzy systems and effectively reducing the system’s complexity. These benefits help the Intrusion Detection System (IDS) to generate more realistic and comprehensive alerts in case of phishing attacks. The proposed method was applied to an open
APA, Harvard, Vancouver, ISO, and other styles
4

Cheng, Xiang, Jiale Zhang, and Bing Chen. "Cyber Situation Comprehension for IoT Systems based on APT Alerts and Logs Correlation." Sensors 19, no. 18 (2019): 4045. http://dx.doi.org/10.3390/s19184045.

Full text
Abstract:
With the emergence of the Advanced Persistent Threat (APT) attacks, many Internet of Things (IoT) systems have faced large numbers of potential threats with the characteristics of concealment, permeability, and pertinence. However, existing methods and technologies cannot provide comprehensive and prompt recognition of latent APT attack activities in the IoT systems. To address this problem, we propose an APT Alerts and Logs Correlation Method, named APTALCM and a framework of deploying APTALCM on the IoT system, where an edge computing architecture was used to achieve cyber situation comprehe
APA, Harvard, Vancouver, ISO, and other styles
5

Gay, Chris, Barry Horowitz, John Elshaw, Philip Bobko, and Inki Kim. "Operator Suspicion and Decision Responses to Cyber-Attacks on Unmanned Ground Vehicle Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 226–30. http://dx.doi.org/10.1177/1541931213601540.

Full text
Abstract:
Cyber-attacks against cyber-physical systems (CPS), such as unmanned vehicles, are emergent threats with potentially catastrophic impacts, and this issue has drawn considerable interest by military agencies. Abundant body of research has attempted to address the physical security aspects of CPS; however, research addressing the human dimensions of cyber-attack detection and responses from an operator and operational perspective is sparse. This research has provided a novel probe into the human factors affecting operator resilience in responding to cyber-attacks, which are situations characteri
APA, Harvard, Vancouver, ISO, and other styles
6

Angelini, Marco, and Giuseppe Santucci. "Cyber situational awareness: from geographical alerts to high-level management." Journal of Visualization 20, no. 3 (2016): 453–59. http://dx.doi.org/10.1007/s12650-016-0377-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yang, Gang, Chaojing Tang, and Xingtong Liu. "DualAC2NN: Revisiting and Alleviating Alert Fatigue from the Detection Perspective." Symmetry 14, no. 10 (2022): 2138. http://dx.doi.org/10.3390/sym14102138.

Full text
Abstract:
The exponential expansion of Internet interconnectivity has led to a dramatic increase in cyber-attack alerts, which contain a considerable proportion of false positives. The overwhelming number of false positives cause tremendous resource consumption and delay responses to the really severe incidents, namely, alert fatigue. To cope with the challenge from alert fatigue, we focus on enhancing the capability of detectors to reduce the generation of false alerts from the detection perspective. The core idea of our work is to train a machine-learning-based detector to grasp the empirical intellig
APA, Harvard, Vancouver, ISO, and other styles
8

Priyawati, Diah, Siti Rokhmah, and Ihsan Cahyo Utomo. "Website Vulnerability Testing and Analysis of Website Application Using OWASP." International Journal of Computer and Information System (IJCIS) 3, no. 3 (2022): 142–47. http://dx.doi.org/10.29040/ijcis.v3i3.90.

Full text
Abstract:
Many businesses, organizations, and social institutions use websites to support their main tasks. The various benefits of the website must be supported by the security aspects of the website in order to avoid hacking. Cyber attacks or hackers can do dangerous things like get more valuable data. So it is necessary to test a good website to find out the level of vulnerability of application features in it. A suitable test for websites where the website is distributed over a network is the grey box penetration test. This study performs a grey box penetration testing technique using the OWASP meth
APA, Harvard, Vancouver, ISO, and other styles
9

Sahu, Abhijeet, and Katherine Davis. "Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach." Sensors 22, no. 6 (2022): 2100. http://dx.doi.org/10.3390/s22062100.

Full text
Abstract:
False alerts due to misconfigured or compromised intrusion detection systems (IDS) in industrial control system (ICS) networks can lead to severe economic and operational damage. However, research using deep learning to reduce false alerts often requires the physical and cyber sensor data to be trustworthy. Implicit trust is a major problem for artificial intelligence or machine learning (AI/ML) in cyber-physical system (CPS) security, because when these solutions are most urgently needed is also when they are most at risk (e.g., during an attack). To address this, the Inter-Domain Evidence th
APA, Harvard, Vancouver, ISO, and other styles
10

Khosravi, Mehran, and Behrouz Tork Ladani. "Alerts Correlation and Causal Analysis for APT Based Cyber Attack Detection." IEEE Access 8 (2020): 162642–56. http://dx.doi.org/10.1109/access.2020.3021499.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Cyber alerts"

1

Clarke, Karla A. "Novel Alert Visualization: The Development of a Visual Analytics Prototype for Mitigation of Malicious Insider Cyber Threats." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1049.

Full text
Abstract:
Cyber insider threat is one of the most difficult risks to mitigate in organizations. However, innovative validated visualizations for cyber analysts to better decipher and react to detected anomalies has not been reported in literature or in industry. Attacks caused by malicious insiders can cause millions of dollars in losses to an organization. Though there have been advances in Intrusion Detection Systems (IDSs) over the last three decades, traditional IDSs do not specialize in anomaly identification caused by insiders. There is also a profuse amount of data being presented to cyber analys
APA, Harvard, Vancouver, ISO, and other styles
2

AfzaliSeresht, Neda. "Explainable Intelligence for Comprehensive Interpretation of Cybersecurity Data in Incident Management." Thesis, 2022. https://vuir.vu.edu.au/44414/.

Full text
Abstract:
On a regular basis, a variety of events take place in computer systems: program launches, firewall updates, user logins, and so on. To secure information resources, modern organisations have established security management systems. In cyber incident management, reporting and awareness-raising are a critical to identify and respond to potential threats in organisations. Security equipment operation systems record ’all’ events or actions, and major abnormalities are signaling via alerts based on rules or patterns. Investigation of these alerts is handled by specialists in the incident resp
APA, Harvard, Vancouver, ISO, and other styles
3

Margarido, Daniel Ribeiro. "Waldo, the virtual & intelligent cyber analyst." Master's thesis, 2017. http://hdl.handle.net/10400.26/25336.

Full text
Abstract:
O objetivo deste estágio é desenvolver uma plataforma inteligente, que constitua um analista de segurança, através de agregação e correlação de várias fontes, apresentado-as ao operacional de segurança atravé de uma aplicação web. Este objetivo foi atingido com a implementação de um sistema que: Aplica os cálculos das redes bayesianas para entender o correlacionamento de eventos de vários IDS, utiliza abordagens que conseguem encontrar comportamentos suspeitos a partir da análise da variação destes correlacionamentos e emprega raciocínio baseado em casos para comparar esses comportamen
APA, Harvard, Vancouver, ISO, and other styles
4

Wu, Chia-Wei, and 吳嘉偉. "Cyber Security Vulnerabilities Alert System Based on Information from Twitter and CVE." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394022%22.&searchmode=basic.

Full text
Abstract:
碩士<br>國立中興大學<br>資訊科學與工程學系所<br>107<br>Most of the computer system users don’t quite understand the system vulnerabilities and their threats to information security. As a result, hackers are able to exploit the vulnerabilities to attack the system. In addition, the attack methods and tools can be easily obtained through the Internet nowadays, which makes zero-day or N-day attacks much easier and faster. But anti-virus software and firewalls cannot completely prevent this kind of attacks resulted in system vulnerabilities. In this thesis, we try to build a system vulnerability precaution system f
APA, Harvard, Vancouver, ISO, and other styles
5

Ghafir, Ibrahim, M. Hammoudeh, V. Prenosil, et al. "Detection of advanced persistent threat using machine-learning correlation analysis." 2018. http://hdl.handle.net/10454/17614.

Full text
Abstract:
Yes<br>As one of the most serious types of cyber attack, Advanced Persistent Threats (APT) have caused major concerns on a global scale. APT refers to a persistent, multi-stage attack with the intention to compromise the system and gain information from the targeted system, which has the potential to cause significant damage and substantial financial loss. The accurate detection and prediction of APT is an ongoing challenge. This work proposes a novel machine learning-based system entitled MLAPT, which can accurately and rapidly detect and predict APT attacks in a systematic way. The MLAPT run
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Cyber alerts"

1

Cyber Alert. Vision Paperbacks, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Streeter, Michael, and Peter Warren. Cyber Alert: How the World Is Under Attack from a New Form of Crime. Vision, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Cyber alerts"

1

Burkart, Nadia, Maximilian Franz, and Marco F. Huber. "Explanation Framework for Intrusion Detection." In Machine Learning for Cyber Physical Systems. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_9.

Full text
Abstract:
AbstractMachine learning and deep learning are widely used in various applications to assist or even replace human reasoning. For instance, a machine learning based intrusion detection system (IDS) monitors a network for malicious activity or specific policy violations. We propose that IDSs should attach a sufficiently understandable report to each alert to allow the operator to review them more efficiently. This work aims at complementing an IDS by means of a framework to create explanations. The explanations support the human operator in understanding alerts and reveal potential false positives. The focus lies on counterfactual instances and explanations based on locally faithful decision-boundaries.
APA, Harvard, Vancouver, ISO, and other styles
2

Wurzenberger, Markus, Max Landauer, Agron Bajraktari, and Florian Skopik. "Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation." In Cybersecurity of Digital Service Chains. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04036-8_7.

Full text
Abstract:
AbstractIntrusion Detection Systems (IDSs) monitor all kinds of IT infrastructures to automatically detect malicious activities related to cyber attacks. Unfortunately, especially anomaly-based IDS are known to produce large numbers of alerts, including false positives, that often become overwhelming for manual analysis. However, due to a fast changing threat landscape, quickly evolving attack techniques, and ever growing number of vulnerabilities, novel anomaly detection systems that enable detection of unknown attacks are indispensable. Therefore, to reduce the number of alerts that have to be reviewed by security analysts, aggregation methods have been developed for filtering, grouping, and correlating alerts. Yet, existing techniques either rely on manually defined attack scenarios or require specific alert formats, such as IDMEF that includes IP addresses. This makes the application of existing aggregation methods infeasible for alerts from host-based or anomaly-based IDSs that frequently lack such network-related data. In this chapter, we present a domain-independent alert aggregation technique that enables automatic attack pattern mining and generation of actionable CTI. The chapter describes the concept of the proposed alert aggregation process as well as a dashboard that enables visualization and filtering of the results. Finally, the chapter demonstrates all features in course of an application example.
APA, Harvard, Vancouver, ISO, and other styles
3

Cheng, Xiang, Jiale Zhang, and Bing Chen. "Correlate the Advanced Persistent Threat Alerts and Logs for Cyber Situation Comprehension." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0758-8_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bahaa-Eldin, Ayman M. "A Bio-inspired Comprehensive Distributed Correlation Approach for Intrusion Detection Alerts and Events." In Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43616-5_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Dunstatter, Noah, Alireza Tahsini, Mina Guirguis, and Jelena Tešić. "Solving Cyber Alert Allocation Markov Games with Deep Reinforcement Learning." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32430-8_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Leeuw, H. B. M. "Using Big Data to Study Digital Piracy and the Copyright Alert System 1." In Cyber Society, Big Data, and Evaluation. Routledge, 2017. http://dx.doi.org/10.4324/9780203793909-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ganesan, Rajesh, Ankit Shah, Sushil Jajodia, and Hasan Cam. "Optimizing Alert Data Management Processes at a Cyber Security Operations Center." In Adversarial and Uncertain Reasoning for Adaptive Cyber Defense. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30719-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ganesan, Rajesh, and Ankit Shah. "A Strategy for Effective Alert Analysis at a Cyber Security Operations Center." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04834-1_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Funke, Gregory, Gregory Dye, Brett Borghetti, et al. "Development and Validation of the Air Force Cyber Intruder Alert Testbed (CIAT)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41932-9_30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Riebe, Thea, Tristan Wirth, Markus Bayer, et al. "CySecAlert: An Alert Generation System for Cyber Security Events Using Open Source Intelligence Data." In Information and Communications Security. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86890-1_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Cyber alerts"

1

Wu, Mingtao, and Young B. Moon. "Intrusion Detection of Cyber-Physical Attacks in Manufacturing Systems: A Review." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10135.

Full text
Abstract:
Abstract Cyber-physical manufacturing system is the vision of future manufacturing systems where physical components are fully integrated through various networks and the Internet. The integration enables the access to computation resources that can improve efficiency, sustainability and cost-effectiveness. However, its openness and connectivity also enlarge the attack surface for cyber-attacks and cyber-physical attacks. A critical challenge in defending those attacks is that current intrusion detection methods cannot timely detect cyber-physical attacks. Studies showed that the physical dete
APA, Harvard, Vancouver, ISO, and other styles
2

Schlenker, Aaron, Haifeng Xu, Mina Guirguis, et al. "Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/54.

Full text
Abstract:
In recent years, there have been a number of successful cyber attacks on enterprise networks by malicious actors which have caused severe damage. These networks have Intrusion Detection and Prevention Systems in place to protect them, but they are notorious for producing a high volume of alerts. These alerts must be investigated by cyber analysts to determine whether they are an attack or benign. Unfortunately, there are magnitude more alerts generated than there are cyber analysts to investigate them. This trend is expected to continue into the future creating a need for tools which find opti
APA, Harvard, Vancouver, ISO, and other styles
3

Brosset, David, Camille Cavelier, Benjamin Coste, Yvon Kermarrec, Joffrey Lartigaud, and Pedro Merino Laso. "Cr@ck3n: A cyber alerts visualization object." In 2017 International Conference on Cyber-Situational Awareness, Data Analytics and Assessment (Cyber SA). IEEE, 2017. http://dx.doi.org/10.1109/cybersa.2017.8073401.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Dunstatter, Noah, Mina Guirguis, and Alireza Tahsini. "Allocating Security Analysts to Cyber Alerts Using Markov Games." In 2018 National Cyber Summit (NCS). IEEE, 2018. http://dx.doi.org/10.1109/ncs.2018.00008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cappers, Bram C. M., and Jarke J. van Wijk. "Understanding the context of network traffic alerts." In 2016 IEEE Symposium on Visualization for Cyber Security (VizSec). IEEE, 2016. http://dx.doi.org/10.1109/vizsec.2016.7739579.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kidmose, Egon, Matija Stevanovic, and Jens Myrup Pedersen. "Correlating intrusion detection alerts on bot malware infections using neural network." In 2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security). IEEE, 2016. http://dx.doi.org/10.1109/cybersecpods.2016.7502344.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

AfzaliSeresht, Neda, Yuan Miao, Qing Liu, Assefa Teshome, and Wenjie Ye. "Investigating cyber alerts with graph-based analytics and narrative visualization." In 2020 24th International Conference Information Visualisation (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv51561.2020.00090.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Vaarandi, Risto. "A Stream Clustering Algorithm for Classifying Network IDS Alerts." In 2021 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, 2021. http://dx.doi.org/10.1109/csr51186.2021.9527926.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Moskal, Stephen, Shanchieh Jay Yang, and Michael E. Kuhl. "Extracting and Evaluating Similar and Unique Cyber Attack Strategies from Intrusion Alerts." In 2018 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE, 2018. http://dx.doi.org/10.1109/isi.2018.8587402.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cam, Hasan, and Pierre Mouallem. "Risk-driven aggregation and transmission prioritization of cyber alerts over mobile networks." In 2014 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2014. http://dx.doi.org/10.1109/iccnc.2014.6785305.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography