AI Meets Encryption—Enhancing Cyber Security and Privacy in the AI Age

A special issue of Cryptography (ISSN 2410-387X).

Deadline for manuscript submissions: 31 October 2025 | Viewed by 781

Special Issue Editors


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Guest Editor
School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: IoT security; device security; AI security
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Special Issue Information

Dear Colleague,

The rise of artificial intelligence (AI) is revolutionizing virtually every aspect of our lives. However, with this progress comes a growing concern for cyber security and user privacy. Traditional encryption methods, while crucial, are facing new challenges in the AI age. This Special Issue aims to explore the intersection of AI and cryptography, investigating how AI can enhance security and privacy in the face of evolving threats.

This Special Issue will welcome original research papers, surveys, and reviews on the following themes:

  • AI-powered encryption techniques;
  • AI for vulnerability analysis and threat detection;
  • AI-based intrusion prevention and anomaly detection;
  • Privacy-preserving AI;
  • The impact of AI on post-quantum cryptography (PQC);
  • Security challenges in AI systems;
  • AI model security;
  • Adversarial attack and vulnerability discovery;
  • The ethical considerations of AI-powered cryptography.

Dr. Shancang Li
Dr. Qindong Sun
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. Cryptography is an international peer-reviewed open access quarterly 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 1600 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

  • encryption techniques
  • privacy-preserving AI
  • post-quantum cryptography
  • AI-powered cryptography

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Published Papers (1 paper)

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Research

18 pages, 806 KiB  
Article
Privacy-Enhancing Technologies in Collaborative Healthcare Analysis
by Manar Alnasser and Shancang Li
Cryptography 2025, 9(2), 24; https://doi.org/10.3390/cryptography9020024 - 22 Apr 2025
Viewed by 223
Abstract
Healthcare data is often fragmented across different institutions (hospitals, clinics, research centers), creating data silos. Privacy-enhancing technologies (PETs) play a fundamental role in collaborative healthcare analysis, enabling healthcare providers to improve care while protecting patient privacy. By providing a compliant framework for data [...] Read more.
Healthcare data is often fragmented across different institutions (hospitals, clinics, research centers), creating data silos. Privacy-enhancing technologies (PETs) play a fundamental role in collaborative healthcare analysis, enabling healthcare providers to improve care while protecting patient privacy. By providing a compliant framework for data sharing and research, PETs facilitate collaboration while adhering to stringent regulations like HIPAA and GDPR. This work conducts a comprehensive survey to investigate PETs in healthcare industry. It investigates the privacy requirements and challenges specific to healthcare, and the key enabling PETs are explored. A review of recent research trends that identify challenges, and AI related concerns is presented. Full article
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