The present disclosure provides a vehicle controller area network (CAN) communication attack detection method and apparatus. The apparatus includes: a learning module, a profiling module, and a detection module. The learning module identifies a CAN identifier (ID) upon receiving a predefined CAN packet and generates learning statistical information expressed as bits with respect to a data field corresponding to the identified CAN ID. The profiling module maintains the learning statistical information received and a precollected attack type, and the detection module extracts a CAN ID and a bit stream of a data field from a real-time input CAN packet. In addition, the detection module configures a neural network by acquiring the learning statistical information from the profiling module, inputs the extracted bit stream to the configured neural network, and determines whether attack is detected, based on an output value of the neural network.
In-vehicle network attack detection method and apparatus
2019-11-19
Patent
Electronic Resource
English
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
IN-VEHICLE NETWORK ATTACK DETECTION METHOD AND APPARATUS
European Patent Office | 2017
|Four-rotor unmanned aerial vehicle attack detection method based on neural network
European Patent Office | 2022
|Detection of Malicious Attack in Network Vehicle System via Observer
Springer Verlag | 2024
|