Guest Editor(s)
Prof. Nai-Wei Lo
Email: nwlo@cs.ntust.edu.tw
Affiliation: Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan
Homepage:
Research Interests: information security, internet of vehicles, blockchain, internet of things, cloud computing, web technology, RFID
Prof. Jheng-Jia Huang
Email: jhengjia.huang@mail.ntust.edu.tw
Affiliation: Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan
Homepage:
Research Interests: information and communication security, applied cryptology, secure protocol design, security management
Prof. Chih-Chieh Chang
Email: ccchang@mail.ntust.edu.tw
Affiliation: School of Management, National Taiwan University of Science and Technology, Taipei, Taiwan
Homepage:
Research Interests: machine learning, data mining, digital transformation, financial technology
Summary
Artificial Intelligence (AI) is reshaping modern cybersecurity, and its integration with Zero Trust Architecture (ZTA) has become essential for securing dynamic, distributed, and high-risk digital ecosystems. As threats grow more sophisticated, AI-driven Zero Trust mechanisms offer unprecedented adaptability and resilience.
This Special Issue aims to explore cutting-edge research at the intersection of AI and Zero Trust, focusing on intelligent authentication, automated policy enforcement, contextual trust evaluation, and advanced anomaly detection. Contributions may include theoretical models, system designs, empirical studies, and practical deployments across cloud, IoT/IoMT, and enterprise environments. The issue welcomes interdisciplinary work that advances secure, scalable, and autonomous Zero Trust ecosystems.
Suggested Themes
· AI-driven continuous authentication and adaptive access control
· Machine-learning-based anomaly and threat detection in ZTA
· AI-enhanced Zero Trust policy automation and orchestration
· Behavioral biometrics and identity assurance
· AI-enabled Zero Trust for IoT/IoMT systems
Keywords
AI-driven zero trust, machine learning for access control, deep learning-based anomaly detection, AI-enhanced identity verification, behavioral biometrics analytics, intelligent policy automation, context-aware trust modeling, AI-powered threat detection, autonomous security orchestration, adaptive AI cyber defense
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