MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122550 A) filed by Sns College Of Technology on October 13, 2026, for An Ai-Powered Healthcare Digital Twin Cyber Defense System With Stateful Cross-User Api Attack Simulation And Adaptive Threat Mitigation.
Inventors include Naveenraj M; Arul Guru Chandiran P R; Arun A; Kapil M; Kishore R; Abinaya S; Mennila S; and Merlin Lydia P.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The proposed invention discloses an intelligent healthcare digital twin cyber defense framework that integrates virtual hospital modeling, stateful cross-user Application Programming Interface (API) attack simulation, multi-signal verdict evaluation, and autonomous adaptive threat mitigation. Modern smart hospitals depend extensively on interconnected RESTful APIs and Internet of Medical Things (IoMT) endpoints to exchange Electronic Health Records (EHR), patient telemetry, and pharmacy directives. However, Broken Object Level Authorization (BOLA/IDOR) and function-level access control vulnerabilities expose critical patient data and life-support devices to unauthorized tampering. Conducting live vulnerability testing on operational hospital infrastructure introduces fatal risks to patient safety. The platform creates a synchronized digital twin of hospital infrastructure, including virtual EHR servers, medical IoT networks, patient monitoring devices, and clinical services. Within this isolated environment, an automated stateful API attack engine constructs cross-user attack chains using dual-layer (path-based and schema-based) resolution and three-tier value generation to simulate realistic multi-step authorization attacks. A multi-signal Jaccard verdict engine scores vulnerabilities without disrupting healthcare operations, while an AI-driven defense engine autonomously evaluates and deploys adaptive mitigations such as dynamic role-re-enforcement, automated session invalidation, micro-segmentation, and IoMT isolation. The continuous Attack–Learn–Defend–Adapt feedback loop guarantees high cyber resilience across hospital systems without endangering human life.
Disclaimer: Curated by HT Syndication.
