Advances in Technologies for Data Privacy and Security
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 287
Special Issue Editors
Interests: information technology infrastructure; information assets; information security; interoperability
2. School of Technology and Architecture, Campus Berlin, SRH University of Applied Sciences Heidelberg, Sonnenallee 221c, D-15087 Berlin, Germany
Interests: cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era of ubiquitous data generation and rapidly advancing digital ecosystems, ensuring data privacy and security is a critical concern. The rise in artificial intelligence (AI)—particularly generative AI models—has amplified both the opportunities and risks in this domain. While AI offers powerful tools for detecting threats, automating security protocols, and enhancing privacy-preserving computation, it also introduces novel vulnerabilities, such as model inversion attacks, data leakage, and the misuse of synthetic data.
This Special Issue of Applied Sciences explores cutting-edge developments at the intersection of data privacy, security, and intelligent systems. It brings together theoretical innovations and practical applications spanning cryptographic frameworks, secure and federated learning, differential privacy, homomorphic encryption, and blockchain-based approaches. Special attention is given to privacy risks and mitigation strategies in AI systems, including techniques to secure training data, interpret model behavior, and control the dissemination of generative content.
By highlighting these multidisciplinary advances, this issue aims to foster a comprehensive understanding of how to build secure, transparent, and trustworthy AI-driven technologies. It serves as a valuable resource for researchers, developers, and policymakers navigating the evolving challenges of safeguarding data in an increasingly AI-powered world.
Dr. Tanja Pavleska
Dr. Reiner Creutzburg
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. Applied Sciences 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
- data privacy
- cybersecurity
- artificial intelligence
- generative AI
- privacy -preserving machine learning
- federated learning
- differential privacy
- model security
- homomorphic encryption
- blockchain security
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.
