AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 37751
Special Issue Editors
Interests: cybersecurity; identity and access management; security analytics
Special Issues, Collections and Topics in MDPI journals
Interests: cybersecurity; machine learning; malware analysis; malware detection; adversarial learning; cyber threat intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit a paper to the MDPI Algorithms Special Issue “AI for Cybersecurity: Robust Models for Authentication, Threat and Anomaly Detection”.
Cybersecurity models include provisions for legitimate user and agent authentication as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we focus on a continuum of cybersecurity measures ranging from user identification through to risk-based and multilevel authentication, complex application and network monitoring and anomaly detection. We will refer to this as the “anomaly detection continuum”.
Machine learning and artificial intelligence can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (elusion attacks). On the other hand, data and system contexts can be modified by attackers in order to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning).
For this Special Issue, we would like to attract papers that address the robustness and effectiveness of AI-based algorithms that are applied to cybersecurity, with particular reference to the following list of issues in the anomaly detection continuum:
- Biometric and behavioral user identification algorithms;
- User and agent authentication algorithms;
- Two-factor and multilevel authentication;
- Risk-aware authentication;
- Continuous authentication algorithms;
- Network anomaly detection;
- Anomaly detection through machine learning;
- Malicious software classification and detection;
- Misuse detection in social networks;
- Threat and security intelligence.
The Special Issue will include research works to be selected from the 2022 Ital-IA workshop on AI and cybersecurity.
Prof. Dr. Francesco Bergadano
Prof. Dr. Giorgio Giacinto
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- anomaly detection
- threat intelligence
- malware detection
- continuous user authentication
- biometric and behavioral identification
- adversarial learning
- natural language processing for cybersecurity
- RPA for security management
- adaptive incident detection and response
- adaptive endpoint protection
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