Latest Advancements in Machine Learning Applications for Cybersecurity
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 45
Special Issue Editors
Interests: computer and network security; malware defense and detection; security policy development; security testbeds development; intrusion detection; enhancing the security of various critical systems; smart grids; cloud computing; software defined networks; unmanned aerial vehicle; healthcare information systems; transportation information systems
Interests: cybersecurity; artificial intelligence; adversarial machine learning; intrusion detection systems
Special Issue Information
Dear Colleagues,
The increasing complexity of cyberattacks necessitates advanced, robust, and reliable security mechanisms. Machine learning (ML) has emerged as a powerful tool in the modern cybersecurity arena, enabling various network devices to operate more efficiently and reliably. As cyber threats continue to rapidly evolve in nature and complexity, there is a need for active ongoing research into ML-based cybersecurity solutions. This Special Issue aims to explore the latest advancements in ML applications for cybersecurity, emphasizing both theoretical and practical implementations.
The scope of this Special Issue includes, but is not limited to, the following topics.
- ML-based intrusion detection/prevention;
- Impact of adversarial machine learning (AML) in cybersecurity;
- Anomaly and malware detection;
- Applications of ML in Internet of Things (IoT) security;
- Role of high-quality datasets in ML-based cybersecurity.
We invite high-quality submissions including original research articles, survey papers, and studies that present innovative approaches, evaluations, and real-world applications of ML in cybersecurity. Papers that discuss challenges, pave the way for new research avenues, and propose methodologies to improve the trustworthiness of existing ML-based cybersecurity solutions are also encouraged.
Prof. Dr. Weiqing Sun
Dr. Medha Pujari
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. 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
- cybersecurity
- machine learning
- adversarial machine learning
- intrusion detection/prevention systems
- datasets
- internet of things security
- anomaly detection
- malware detection
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
