Special Issues
Table of Content

Secure and Scalable AI for Cyber-Physical Systems: Advancing Trust, Resilience, and Privacy

Submission Deadline: 30 September 2025 (closed) View: 519 Submit to Journal

Guest Editors

Dr. Velliangiri Sarveshwaran

Email: velliangiris@gmail.com

Affiliation: Department of Computer Science and Information Engineering, National Chung Cheng University, Chiyai, 621018, Taiwan

Homepage:

Research Interests: cyber physical systems, trustworthy AI, internet of things

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Prof. Keping Yu

Email: keping.yu.47@hosei.ac.jp

Affiliation: Graduate School of Science and Engineering, Hosei University, Tokyo, 10-0000, JAPAN

Homepage:

Research Interests: artificial intelligence, cyber security, blockchain, cryptography

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Summary

The special issue will focus on the intersection of AI and security for Cyber-Physical Systems (CPS), addressing emerging threats, resilience strategies, and privacy-preserving techniques. Topics of interest include, but are not limited to:
· AI-driven threat detection and mitigation in CPS
· Federated and privacy-preserving learning for secure CPS applications
· Blockchain and zero-trust architectures for CPS security
· Adversarial attacks and robust AI defenses in CPS environments
· Scalable anomaly detection and response strategies
· Secure real-time decision-making in AI-powered CPS
· Explainable AI for trustworthy CPS security frameworks


Keywords

Cyber-Physical Systems (CPS), Federated Learning, Blockchain for Security, Multimodal Learning, Trustworthy AI,

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