Artificial Intelligence in Cybersecurity: Practices, Challenges, and Innovations
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 22
Special Issue Editors
Interests: natural language processing (NLP); machine learning (ML); deep learning (DL) applications; health security; AI security; quantum technology to identify software vulnerabilities
Special Issue Information
Dear Colleagues,
The intersection of Artificial Intelligence (AI) and cybersecurity has emerged as a critical frontier in addressing the evolving complexities of the digital landscape. This Special Issue, entitled “Artificial Intelligence in Cybersecurity: Practices, Challenges, and Innovations”, aims to provide a platform for researchers and practitioners to explore how AI can be effectively employed to strengthen cybersecurity measures.
We welcome contributions that highlight innovative practices such as AI-driven threat intelligence systems, predictive analytics for identifying vulnerabilities, and automated responses to evolving cyber threats. Additionally, we encourage groundbreaking research on the development of novel AI methodologies and their real-world applications in areas such as malware detection, anomaly detection, and secure AI deployment.
This Special Issue also emphasizes the importance of adaptive learning systems capable of remaining updated at all times regarding new vulnerabilities. Authors are encouraged to present datasets addressing newly developed threats in software and other domains. The significant contributions of machine learning and its subfields—natural language processing and computer vision—are critical for automating vulnerability detection and mitigation.
We aim to advance technologies within AI and its subfields, including machine learning, deep learning, natural language processing, and computer vision, to address pressing issues in cyberspace. This involves developing robust and efficient algorithms, designing novel data preprocessing techniques, collecting and curating relevant datasets, and exploring innovative approaches for cybersecurity.
By addressing practices, challenges, and innovations, this Special Issue aspires to advance the discourse and inspire new directions in the field of AI-powered cybersecurity.
Dr. Mst Shapna Akter
Dr. Sai Deepthi Yeddula
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
- AI-driven threat intelligence systems
- predictive analytics for cybersecurity
- automated cyber threat response
- malware detection using machine learning technique
- anomaly detection in cybersecurity
- adaptive learning systems for vulnerability mitigation
- natural language processing for threat detection
- computer vision in cybersecurity applications
- secure deployment of AI models
- cybersecurity dataset development and curation
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
