US Patent Issued to George Mason University on Dec. 2 for "Federated graph neural network for fast anomaly detection in controller area networks" (Virginia Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,049, issued on Dec. 2, was assigned to George Mason University (Fairfax, Va.).

"Federated graph neural network for fast anomaly detection in controller area networks" was invented by Hengrun Zhang (Fairfax, Va.) and Kai Zeng (Fairfax, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and apparatus for intrusion detection includes generating graph data from a sequence of messages in a communication network. The graph data denotes a node for each message identifier in the sequence of messages and an edge for each pair of consecutive message identifiers. Pair counts are generated for edges in the graph data as a number of times the associated ...