US Patent Issued to Verizon Patent and Licensing on Feb. 17 for "Systems and methods for utilizing machine learning models to generate encryption keys" (Virginia, Florida Inventors)

ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,556,383, issued on Feb. 17, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Systems and methods for utilizing machine learning models to generate encryption keys" was invented by Said Soulhi (Saint Cloud, Fla.) and Adam Barron (Leesburg, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A device may receive input key material, and may process the input key material, with a trained generative adversarial network (GAN) model, to generate an encryption key with a maximized entropy. The trained GAN model may include a key generator network model trained to generate encryption keys that generalize key derivation functions with high...