Special Issue "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: 31 August 2022 | Viewed by 413

Special Issue Editors

Prof. Dr. Francesco Bergadano
E-Mail Website
Guest Editor
Department of Computer Science, University of Torino, Via Pessinetto 12, 10149 Torino, Italy
Interests: cybersecurity; identity and access management; security analytics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Giorgio Giacinto
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy
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 tools 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 AI-based countermeasures 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 methods that are applied to cybersecurity, with particular reference to the following list of issues in the anomaly detection continuum:

  • Biometric and behavioral user identification
  • User and agent authentication
  • Two-factor and multilevel authentication
  • Risk-aware authentication
  • Continuous authentication
  • Network anomaly detection
  • Anomaly detection in applications and from user behavior
  • 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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 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
 

Published Papers

This special issue is now open for submission.
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