Guest Editors
Dr. Zhen-Yu Wu
Email: hkwu668@nkust.edu.tw
Affiliation: Department of Maritime Information and Technology, National Kaohsiung University of Science and Technology, Kaohsiung, 807618, Taiwan
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Research Interests: maritime IoT applications, information security, post-quantum cryptography, federated learning, e-health systems, and AI-based data analysis
Summary
As Internet of Things (IoT) and cyber-physical systems (CPS) rapidly expand across smart cities, healthcare, transportation, and maritime domains, the demand for secure collaboration and trustworthy intelligence becomes increasingly critical. Federated learning enables distributed AI model training without sharing raw data, but emerging threats—including quantum-era attacks and data leakage—require advanced privacy-preserving mechanisms.
This Special Issue invites original research and surveys on secure, privacy-aware, and AI-driven architectures for next-generation IoT and CPS ecosystems. Topics of interest include federated learning algorithms, post-quantum cryptography, blockchain-based trust management, secure edge-cloud orchestration, and intelligent intrusion detection. By integrating security, resilience, and decentralized intelligence, this issue aims to advance dependable distributed learning frameworks that support sustainable IoT applications across industrial, urban, healthcare, and maritime environments.
Suggested Themes:
· Federated learning and privacy-preserving AI in distributed environments
· Quantum-resistant cryptography and post-quantum security for IoT/CPS
· Blockchain and decentralized trust management mechanisms
· Secure edge-cloud orchestration for intelligent IoT systems
· Intrusion detection and anomaly analysis in autonomous networks
· Lightweight and energy-efficient security protocols
· Secure data aggregation and integrity assurance across heterogeneous domains
Keywords
federated learning, IoT, cyber-physical systems, privacy-preserving AI, blockchain, quantum-safe security, edge intelligence, secure data aggregation, trust management
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