Machine Learning and Cybersecurity—Trends and Future Challenges
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 May 2024 | Viewed by 1108
Special Issue Editor
Interests: machine learning; cybersecurity; quantum computing and optimization
Special Issue Information
Dear Colleagues,
This Special Issue of the journal is dedicated to examining the symbiotic relationship between machine learning and cybersecurity, with a specific focus on its application, progress, and challenges. Encompassing a wide array of topics, including anomaly detection, behavior analysis, adversarial machine learning, and transparent model development, the scope is set to provide a comprehensive overview of the current trends and future prospectives in this dynamic intersection. The primary purpose of this Special Issue is to offer a valuable resource for researchers and practitioners alike, offering deep insights and practical knowledge.
In terms of its contribution to the existing literature, this Special Issue stands as a significant supplement. By delving into the integration of advanced ML algorithms into security systems, it expands upon the evolving landscape of cyber threat detection and response. Furthermore, the exploration of adversarial machine learning sheds light on the critical need for creating models that can withstand sophisticated attacks. This Special Issue also addresses a pressing concern in the field: transparency and interpretability in ML models, which are pivotal for ensuring ethical and regulatory compliance. By providing an encompassing overview of these critical facets, this Special Issue enriches the existing body of knowledge and offers a crucial reference for those engaged in research and practice within the domain of machine learning and cybersecurity. Researchers, practitioners, and policymakers alike will find this Special Issue to be a valuable compendium of knowledge in an era where safeguarding digital spaces is of paramount importance.
Prof. Dr. Wajeb Gharibi
Guest Editor
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.
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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 2400 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
- machine learning
- cybersecurity
- anomaly detection
- behavior analysis
- adversarial machine learning
- transparent models
- digital security
- threat detection
- ethical compliance
- regulatory compliance
- cyber threats
- resilient models
- data security
- intrusion detection
- network security
