AI-Driven Security & Blockchain Architectures for IoMT/IoHT
About the Special Session
Call for PapersThe rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare through connected medical devices, remote patient monitoring, and intelligent clinical systems. However, the sensitive nature of medical data, combined with heterogeneous devices and limited resources, introduces critical security, privacy, and trust challenges.
This special session focuses on advanced AI-driven security mechanisms and Blockchain-based architectures to enhance resilience, trustworthiness, and privacy of IoMT ecosystems.
Topics
Non-exhaustive listAI-Based Security and Privacy in IoMT
- ML/DL techniques for IoMT threat detection
- AI-driven IDS/IPS for medical devices
- Behavioral analytics & anomaly detection
- Federated & privacy-preserving learning
- Explainable AI (XAI) for security decisions
Blockchain Architectures for IoMT
- Secure data sharing in IoMT ecosystems
- Lightweight & scalable blockchain solutions
- DLT for secure device authentication
- Consensus mechanisms optimized for IoMT
Secure Data Management & Access Control
- Blockchain-based access control & identity management
- Smart contracts for automated policy enforcement
- Secure EHR management using blockchain
- Data provenance, integrity & auditability
Privacy, Ethics & Compliance
- Privacy-preserving AI models for medical IoT data
- AI + blockchain for compliance (e.g., HIPAA, GDPR)
- Ethical challenges of AI-driven decision making
- Secure consent management with blockchain
Session Chairs
Submission
CMTPapers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time. Papers submitted must use the prefix “SS” (e.g., SS_[paper name]).
https://cmt3.research.microsoft.com/CyberAI2026