US Patent Issued on May 19 for "Deep neural network learning based tools for embedded systems under side channel attacks" (California, Arizona Inventors)

ALEXANDRIA, Va., May 19 -- United States Patent no. 12,632,607, issued on May 19.

"Deep neural network learning based tools for embedded systems under side channel attacks" was invented by Ryan Redford (Irvine, Calif.), Roman Lysecky (Tucson, Ariz.), Janet Roveda (Tucson, Ariz.), Roberto Roveda (Tucson, Ariz.), Christophe Malterre (Tucson, Ariz.) and Wo-Tak Wu (Tucson, Ariz.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method for detecting a side-channel attack (SCA) of an electronic target device, which method includes the steps of: a remote sensing EM radiations emanating from the target device; comparing the EM radiations with base line radiations; and identifying anomalies in said EM rad...