US Patent Issued to FORTINET on Sept. 8 for "Machine-learning based approach for classification of encrypted network traffic" (California Inventors)

ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,731,023, issued on Sept. 8, was assigned to FORTINET INC. (Sunnyvale, Calif.).

"Machine-learning based approach for classification of encrypted network traffic" was invented by Jing Lan (Fremont, Calif.), Kan Xiao (San Jose, Calif.) and Zhi Guo (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for a machine-learning based approach for classification of encrypted network traffic data are provided. According to various embodiment of the present disclosure, a network security device receives a stream of packets representing a network flow. Metadata relating to the stream of packets is determined. Application layer payload...