MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073836 A) filed by Nitte Deemed To Be University; Pallavi Shetty; and Chandushree B on June 15, 2026, for A Flow-Level Wifi Anomaly Detection System For Real-Time Behavioral Network Monitoring.
Inventors include Pallavi Shetty; and Chandushree B.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT Disclosed herein is a flow-level WiFi anomaly detection system (100) for real-time behavioral network monitoring, comprising a user interface (102) integrated into a user device (104), a communication network (106), and a processing unit (108) comprising an input module (110), a preprocessing module (112) configured to perform artifact-schema version validation and documented feature imputation, a classification module (114) configured to evaluate flow-level features using a serialized gradient-boosted classifier, a confidence gate module (116) configured to generate a three-state classification output, a drift monitor module (118) configured to append a rolling drift-signal indicator to application programming interface responses, an output module (120), and a database (122) for persistent artifact and session storage.
Disclaimer: Curated by HT Syndication.
