MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075416 A) filed by Dr. V. Sivaraj; Dr. Aarti S. Jadhav Patil; Mrs. Poonam S. Bhawke; Dr. Madhuri Gurale; Mr. Shubham Murshetwar; Mr. Praddumn Moralwar; Mr. Tanmay Patil; and Ms. Sakshi Patil on June 18, 2026, for System And Method For Detecting Fake Social Media Profiles Using Machine Learning And Behavioral Feature Analysis.
Inventors include Dr. Aarti S. Jadhav Patil; Mrs. Poonam S. Bhawke; Dr. Madhuri Gurale; Mr. Shubham Murshetwar; Mr. Praddumn Moralwar; Mr. Tanmay Patil; Ms. Sakshi Patil; and Dr. V. Sivaraj.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a computer-implemented system and method for detecting fake social media profiles through machine learning and behavioral feature analysis. The proposed system collects profile attributes, content activity patterns, network interaction characteristics, temporal behavior, and engagement metrics from social media platforms. The collected data are processed through a feature extraction engine that generates behavioral indicators and profile authenticity parameters. A machine learning classification engine analyzes the extracted features using supervised and ensemble learning models to determine the probability of a profile being fake, malicious, automated, impersonated, or genuine. The system further employs anomaly detection and continuous behavioral monitoring to improve classification accuracy over time. The invention provides real-time detection, risk scoring, and automated reporting of suspicious accounts, thereby enhancing platform security, reducing misinformation, and pro
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