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2026 IEEE International Conference on Digital Health (ICDH), 2026 IEEE World Congress on SERVICES
Ontology Driven Agentic System for Automating Security Compliance in Medical Cyber-Physical WBANs
July 13, 2026
Medical Wireless Body Area Networks (WBANs) operate as medical cyber-physical systems (MCPS) that continuously sense and transmit sensitive patient health data, creating significant security, privacy, and regulatory challenges. Traditional WBAN protections focus on lightweight cryptography but lack semantic reasoning and automated compliance of data regulations such as Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR). We have developed a novel agentic framework that automates the modeling, analysis, and verification of security, privacy, and compliance properties in cyber-physical wireless body area network (WBAN-CPS) medical systems. The framework represents medical devices, data flows, threats, controls, and regulatory obligations in OWL and operationalizes reasoning through SWRL rules and SPARQL-based compliance queries. A synthetic WBAN-CPS dataset instantiates the ontology, enabling autonomous inference across cyber, physical, and regulatory layers. The agentic architecture comprising a Risk Detection Agent, Compliance Monitoring Agent, and Policy Enforcement Agent collaboratively infers SecurityRisk, PrivacyRisk, ComplianceRisk, and CPS-specific SafetyRisk in a representative medical use case. The evaluation results show that the system provides high expressiveness, regulatory adaptability, and explainability, outperforming traditional WBAN security models. This work establishes a semantic and regulation aware foundation for trustworthy and secure medical cyber-physical systems.
InProceedings
IEEE
IEEE
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