Advances in Cyber-Security and Machine Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 120
Special Issue Editor
Interests: artificial intelligence; machine learning; cyber security; intrusion detection systems; information security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The fields of cyber-security and machine learning (ML) have seen significant advancements over the past few years. These advancements are driven by the increasing complexity of cyber threats and the growing availability of data, computational power, and sophisticated algorithms. The integration of ML into cyber-security has become crucial in enhancing the capability to predict, detect, and respond to cyber threats. Moreover, the rapid evolution of cyber threats necessitates advanced, adaptive solutions, and ML provides the tools to predict, detect, and respond to these threats effectively. This Special Issue is organized to present the key advances in the application of ML within the cyber-security domain.
The main themes of this Special Issue include, but are not limited to, the following:
- Machine learning advances;
- Advances in cyber-security;
- Intrusion detection systems;
- Cryptography;
- Encryption and decryption;
- Image encryption;
- Adversarial intrusion detection;
- Secure machine learning;
- Attacks against machine learning;
- Anomaly detection;
- Zero-day exploits;
- Advanced persistent threats;
- Behavioral analysis for threat identification;
- Signature and heuristic analysis;
- NLP for attack detection;
- Real-time fraud detection;
- Predictive analytics;
- Risk assessment;
- Adversarial attacks on ML;
- Explainable AI for transparency and trust enhancement;
- Centralized and de-centralized security architectures;
- Transfer learning and federated learning techniques.
Dr. Sana Ullah Jan
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.
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. Electronics is an international peer-reviewed open access semimonthly 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 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
- cyber security
- information security
- intrusion detection
