Intellectual Property India Publishes Patent Application for Historical Optimized Gated Graph Attention-Based Distributed Neural Network (hg2adn) Model For Reentrancy Vulnerability Detection In Ethereum Smart Contracts

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621075795 A) filed by Mrs. Saltanat Mohammed Abdullah Shaikh; and Dr. Sangeeta Vhatkar on June 18, 2026, for Historical Optimized Gated Graph Attention-Based Distributed Neural Network (hg2adn) Model For Reentrancy Vulnerability Detection In Ethereum Smart Contracts.

Inventors include Mrs. Saltanat Mohammed Abdullah Shaikh; and Dr. Sangeeta Vhatkar.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: Reentrancy is one of the most severe security vulnerabilities in Ethereum smart contracts, often leading to unauthorized fund withdrawals and significant financial losses in decentralized applications. ...