MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079571 A) filed by Cmr Engineering College on June 29, 2026, for Neural Network Based Anomaly Detection System For Internet Of Things Device Networks.
Inventors include Dr. Shanthi Latha; Mrs. G. Sumangala; Mrs. G. Kalpana; Mr. M. Praveen; Mrs. M. Pooja; Dr. Kande Archana; and Dr. S. Rama Kishore Reddy.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract A IoT anomaly detection system is disclosed for use in a IoT device network including distributed sensors, actuators, controllers, and gateway-connected devices. The system comprises a processor, memory, a communication interface, an input acquisition module, a preprocessing module, an analysis engine, and an output control module. The communication interface receives sensor readings, device status messages, gateway timestamps, network traffic summaries, and device-behaviour vectors. The preprocessing module validates and normalizes received input records before the analysis engine performs IoT network anomaly detection using stored rules, profiles, policies, model parameters, or reference records. The output control module compares a generated decision value with a stored threshold or policy condition and generates device-level anomaly indicators, gateway alerts, isolation commands, and maintenance records. The system stores an audit record linking source identity, validation state, decision value, and selected output action. The arrangement provides a controlled technical data path from input capture to Fig. 1 Dated June 23, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
Disclaimer: Curated by HT Syndication.
