US Patent Issued to The Regents of the University of California on Jan. 20 for "Automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats" (California Inventors)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,530,504, issued on Jan. 20, was assigned to The Regents of the University of California (Oakland, Calif.).

"Automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats" was invented by Mohammad Abdullah Al Faruque (Irvine, Calif.), Rozhin Yasaei (Irvine, Calif.) and Shih-Yuan Yu (Irvine, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present invention is directed to an automated methodology based on GNN to model IC and mitigate hardware security threats. The present invention features a system for detecting hardware Trojans and IP piracy in a circuit. The system may be based on a G...