MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122837 A) filed by Srm University-Ap on October 14, 2026, for System And Method For Real-Time Explainable Anomaly Detection In Isac-Assisted Iot Networks.
Inventors include Mahammad Ansar Shaik; Arun Kumar; Anirban Ghosh; and Sunil Chinnadurai.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention provides a system (100) and a method for real-time explainable anomaly detection in integrated sensing and communication (ISAC)-assisted Internet of Things (IoT) network, comprising: IoT network sources (200) configured to generate communication traffic and sensing-related signals; an ISAC base station (300) configured to receive communication signals and sensing signals from the plurality of IoT network sources (200); a network anomaly detection edge device comprising a processor (402), a memory (404), a communication interface unit (408) and a Hierarchical Multi-Dynamic SHAP-based Autoencoder (HMDS-AE) (406) hosted and executed by the processor (402) and memory (404); a destination server system (500) to receive clean, normal traffic passed by the edge device (400); and a monitoring server (600) to receive real-time security alerts and the generated feature-level SHAP attributions for isolated anomalous traffic. Figure of Abstract –
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