MUMBAI, India, Dec. 13 -- Intellectual Property India has published a patent application (202511102293 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 24, for 'system for detecting anomalies in http traffic.'
Inventor(s) include Dr. Pavitar Parkash Singh; Dr. Rajeev Sobti; Dr. Kailash Chandra Juglan; and Gaurav Pushkarna.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "A system for detecting anomalies in HTTP traffic, comprising a data acquisition module 101 for collecting HTTP request data from one or more web applications, a training module 102 configured to learn normal behavior patterns from benign traffic using a semi-supervised domain-specific modeling approach, a sequence reconstruction module 103 that reconstructs incoming HTTP requests and calculates reconstruction errors, an anomaly detection module 104 that identifies requests exhibiting deviations from expected patterns as malicious or abnormal, and an interpretability module 105 that attributes detected anomalies to specific tokens or features to provide actionable insights, the system achieves a strong balance between precision and recall while maintaining low computational requirements, is suitable for real-time and edge deployment, and demonstrates superior performance on multiple public datasets compared to traditional baselines and fine-tuned transformer models."
Disclaimer: Curated by HT Syndication.
