Intellectual Property India Publishes Patent Application for 'A Hybrid AI-Based Deep Learning System For Identification Of Shilling Attacks In Social Recommendation Platforms' Filed by Sr University

MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001599 A) filed by Sr University, Warangal, Telangana, on Jan. 7, for 'a hybrid ai-based deep learning system for identification of shilling attacks in social recommendation platforms.'

Inventor(s) include M. Sunitha; and Dr. N Venkatesh.

The application for the patent was published on Jan. 23, under issue no. 04/2026.

According to the abstract released by the Intellectual Property India: "A hybrid AI-based deep learning system for identifying shilling attacks in social recommendation platforms is disclosed. The system analyzes user behavior, rating patterns, and social interactions to detect malicious manipulation. By integrating deep learning with artificial intelligence techniques, the invention enables robust and adaptive detection of evolving attack strategies. The proposed system improves recommendation accuracy, reduces false positives, and enhances trust and reliability in online recommendation environments."

Disclaimer: Curated by HT Syndication.