US Patent Issued to GOOGLE on Feb. 11 for "Cyber-threat score generation using machine learning and reflecting quality of sources" (North Carolina, Virginia Inventors)

ALEXANDRIA, Va., Feb. 12 -- United States Patent no. 12,225,031, issued on Feb. 11, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Cyber-threat score generation using machine learning and reflecting quality of sources" was invented by Scott Eric Coull (Cary, N.C.) and Jeffrey Thomas Johns (Leesburg, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A cyber-security analysis method uses machine learning (ML) technology to classify cyber-threat indicators, for example, as malicious or benign, by generating a threat score. The method includes receiving, at a compute device, a data set including cyber-threat indicators and verdicts serving as votes from each source in the set of sources. Each of the votes...