Anomaly detection method for vehicle-mounted CAN bus
A CAN bus, anomaly detection technology, applied in the field of information security, can solve the problem of lack of information security guarantee in the CAN bus network
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[0039] The present invention will be described in further detail below with reference to the accompanying drawings and examples.
[0040] Aiming at the message data bits of the vehicle-mounted CAN bus, the invention proposes an abnormal detection method of the vehicle-mounted CAN bus. According to the characteristics of the data bits, the vehicle CAN bus message data bits are divided into 8 features, which represent different command meanings and carry important control information, which is especially important for abnormal detection of data bits. Anomaly detection of CAN message data can be regarded as a binary classification problem in machine learning, normal data and abnormal data. The method of support vector machine can obtain the classification with less error through limited training samples, and the classification accuracy is higher. The invention adopts the method of support vector machine (SVM) to realize the abnormality detection of the vehicle-mounted CAN bus.
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