Computer Networking Security and Privacy
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 748
Special Issue Editors
Interests: differential privacy; data privacy; IOV privacy; cybersecurity; machine learning privacy
Interests: natural language processing (NLP); machine learning (ML); deep learning (DL) applications; health security; AI security; quantum technology to identify software vulnerabilities
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of information technology has positioned computer networks as an indispensable component of societal infrastructure. However, this technological progression has concurrently precipitated escalating security vulnerabilities and privacy infringements that manifest as sophisticated cyber threats. As a result, effective methods to safeguard network security and privacy have become a crucial research focus in both academia and industry.
This Special Issue seeks to curate pioneering advancements in computer network security and privacy. Aligned with the interdisciplinary focus of Electronics, this initiative prioritizes research at the nexus of secure network architecture resilience, adaptive cyber-physical system governance, and machine learning-driven threat intelligence frameworks. This Special Issue endeavors to establish a transformative knowledge repository that catalyzes paradigm shifts in cybersecurity strategy formulation, ethical AI deployment, and next-generation privacy-preserving computational models.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
(1) Privacy protection;
(2) Cybersecurity;
(3) Federated learning;
(4) Split learning;
(5) Unlearning mechanisms;
(6) Differential privacy;
(7) Blockchain;
(8) Distributed learning.
Dr. Baihe Ma
Dr. Mst Shapna Akter
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
- privacy
- AI privacy
- cybersecurity
- distributed learning
- unlearning mechanisms
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