MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611060679 A) filed by Miva Ai Systems Private Limited on May 13, 2026, for System And Method For Diversity-Weighted Social Vouching With Cluster-Isolation-Based Sybil Attack Prevention And Explainable Trust Path Recommendation In Verified Human Social Graphs.
Inventor includes Jogender Singh Saini.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: A computer-implemented system and method for computing diversity-weighted trust scores in human social vouching networks. The system constructs a directed weighted social graph of verified users and vouching relationships, computes source-diversity coefficients for vouching clusters using topological isolation analysis to detect and discount coordinated collusion, applies temporal decay functions to reduce stale relationship weights, and generates explainable recommendations by traversing the graph to identify verified trust paths between users. Trust scores are computed independently across distinct life-context domains, with a cross-domain bridge permission protocol enabling controlled, minimum-disclosure sharing of trust signals between domains. The system provides mathematical resistance to coordinated fake-trust inflation (Sybil attacks) in human identity verification and social discovery contexts, enabling trust-aware human connection across matrimonial, professional, and business networking domains.
Disclaimer: Curated by HT Syndication.
