Each of the below-mentioned topic areas is expanded but the sub-topics list is not comprehensive. Papers may address one or more of the listed sub-topics, although authors should not be limited by it. The unlisted topics that are related to the mentioned sub-topics are also acceptable, provided they fit in any of the following primary topic areas:

Track -1 Internet of Things [IoT] Architecture
  • Cybersecurity in IoT: Threats, Vulnerabilities, and Countermeasures
  • Secure Communication Protocols for IoT Devices
  • Intrusion Detection and Prevention Systems for IoT Networks
  • Privacy-Preserving Techniques for IoT Data
  • Blockchain Technology for IoT Security and Data Integrity
  • Trusted Computing and Secure Bootstrapping in IoT Devices
  • Identity Management and Access Control in IoT Environments
  • Security by Design: Building Resilient IoT Architectures
  • Secure Firmware and Software Updates for IoT Devices
  • Risk Assessment and Compliance Management in IoT Deployments

    • Track -2: Cybernetics Control Networks
  • Adaptive and Self-Learning Systems in IoT Environments
  • Cyber-Physical Systems (CPS) Integration in IoT Networks
  • Bio-Inspired Control Mechanisms for IoT Applications
  • Cognitive Computing and Neurofeedback Systems in IoT
  • Human-Machine Interaction and Interface Design for IoT Devices
  • Swarm Intelligence and Collective Behavior in IoT Networks
  • Evolutionary Algorithms for Dynamic Optimization in IoT Systems
  • Decision Support Systems and Cybernetic Control in IoT
  • Emergent Behavior Analysis in Complex IoT Ecosystems

    • Track-3 Quantum Cybernetics
  • Quantum-Secure Communication Protocols for IoT Networks
  • Quantum Cryptography and Key Distribution in IoT Environments
  • Quantum Machine Learning for IoT Data Analytics
  • Quantum Sensors and Quantum Metrology in IoT Applications
  • Quantum Computing Algorithms for Optimization Problems in IoT
  • Quantum-Safe Cryptography Standards for Future-Proof IoT Security
  • Quantum-enhanced Sensing and Measurement Technologies for IoT Devices
  • Quantum Neural Networks for Pattern Recognition in IoT Data
  • Quantum-inspired Optimization Techniques for IoT Resource Management
  • Quantum Error Correction and Fault-Tolerant Architectures for Reliable IoT Systems