MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018316 A) filed by Malla Reddy Engineering College For Women; and Malla Reddy University, Hyderabad, Telangana, on Feb. 18, for 'system and method for trustworthy user prediction in online social networks using modified artificial bee colony and machine learning algorithms.'
Inventor(s) include Y. Madhaveelatha; Radharani Akula; Prabhakar Gudise; Gorantla Bhanuprasad; Venkataramana Sangam; V. Dhanunjana Chari; J. Jayendra; and Vajjala Kesava Vamsi Krishna.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Online social networks have become critical platforms for communication, commerce, and information exchange, yet they face persistent challenges in verifying user authenticity and preventing malicious activity. The present invention discloses a hybrid trust prediction framework that integrates a Modified Artificial Bee Colony (MABC) algorithm with machine learning classifiers to identify trustworthy users. The MABC algorithm performs efficient feature optimization, selecting the most relevant attributes such as behavioral consistency, network centrality, and content authenticity. Optimized features are processed through classifiers including Random Forest, Support Vector Machine, Gradient Boosting, and Neural Networks, which generate trust scores and categorize users into trustable or non-trustable groups. The system demonstrates superior predictive accuracy, reduced computational complexity, and enhanced scalability compared to conventional approaches. Industrial applicability spans social media platforms, cybersecurity systems, e-commerce review filtering, and online community management. By combining optimization efficiency with classification robustness, the invention provides a reliable solution for strengthening digital trust and safeguarding online interactions."
Disclaimer: Curated by HT Syndication.
