Guest Editors
Dr. Thinagaran Perumal
Email: thinagaran@upm.edu.my
Affiliation: Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, 43400, Malaysia
Homepage:
Research Interests: cyber physical systems, IoT, AI, smart home
Dr. Monica Ravishankar
Email: mravisha@gitam.edu
Affiliation: Dept. of CSE, GITAM University, Bangalore, 560001, India
Homepage:
Research Interests: came theory, cyber security, AI
Dr. Thompson Stephan
Email: thompsoncse@gmail.com
Affiliation: Thumbay College of Management and AI in Healthcare, Gulf Medical University, Ajman, United Arab Emirates
Homepage:
Research Interests: machine learning, computational intelligence, healthcare informatics, AI
Dr. Vinaytosh Mishra
Email: dr.vinaytosh@gmu.ac.ae
Affiliation: Thumbay College of Management and AI in Healthcare, Gulf Medical University, Ajman, United Arab Emirates
Homepage:
Research Interests: supply chain optimization, digital health, AI in healthcare, ethical AI
Summary
Cyber-Physical Systems (CPS) form the backbone of the modern industrial landscape, integrating computation, networking, and physical processes to enable next-generation intelligent ecosystems. CPS emergence is being reshaped to support seamless interaction between people, machines, and environments through autonomous intelligence, real-time analytics, and adaptive decision-making.
CPS facilitates comprehensive connectivity across the production lifecycle, supply chains, and service networks. It empowers industrial operations with self-optimization, predictive maintenance, and intelligent automation—ultimately enhancing efficiency, accuracy, and resilience. However, the integration of AI and IoT technologies into CPS introduces new challenges related to data security, privacy, and trustworthiness. Data generation, communication, storage, and analysis within CPS demand robust safeguards to ensure secure, transparent, and compliant operations.
This special issue explores the intersection of CPS with a focus on IoT, data security, privacy protection, and resilience, aiming to advance the digital transformation of industrial ecosystems.
This issue welcomes original contributions on (but not limited to):
- Fault diagnosis in CPS
- Personalized services in CPS environments
- User behavior modeling and analysis in CPS
- Service discovery and data management in CPS
- Intelligent perception and target detection in CPS
- End-to-end data security frameworks in CPS
- Privacy-preserving techniques for CPS
- Abnormal data detection and recovery in CPS
- Lightweight data encryption methods for resource-constrained CPS
- Reliable and transparent data storage mechanisms in CPS
- Data security auditing and compliance in CPS
- Resilience and trust management in CPS
- Improving Resilience and Trust in AI-driven Cyber Physical Systems.
- Cyber-Physical AI
- AI-driven Intrusion Detection System (IDS) to enhance CPS security
Keywords
cyber-physical systems, data security, privacy preservation, service doiscovery, abnormal data recovery, deep learning, data management, AIoT
Published Papers
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