MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202411103987 A) filed by Lovely Professional University on December 28, 2024, for Federated Ai Security Framework For Blockchain Vulnerability Mitigation.
Inventor includes Muhammed Rafeeq War.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to a federated AI security framework designed for blockchain vulnerability mitigation, specifically employing a Self-Learning, Federated Security Grid (SL-FSG) that integrates Machine Learning (ML), Deep Learning (DL), and Federated Learning (FL) to create a decentralized security architecture for blockchain networks. This framework includes multiple blockchain nodes, each equipped with FL models that operate locally to scrutinize transaction patterns and node behavior, identifying suspicious activities such as irregular staking patterns or collusion attempts. The FL models facilitate consensus validation and cross-network threat intelligence sharing while ensuring sensitive data remains confined to individual nodes. The SL-FSG incorporates ML models for continuous learning and adaptation to emerging threats by analyzing patterns and behaviors within the blockchain network. DL models scan smart contracts for flaws before execution to prevent exploitation. The SL-FSG operates independently, maintaining blockchain integrity and using privacy-preserving techniques to protect data during security assessments and sharing.
Disclaimer: Curated by HT Syndication.
