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

Pending Publication Date: 2019-10-25
JIANGSU UNIV
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Problems solved by technology

[0003] The purpose of the present invention is, in order to solve the above-mentioned CAN bus network lacks the pr

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  • Anomaly detection method for vehicle-mounted CAN bus
  • Anomaly detection method for vehicle-mounted CAN bus
  • Anomaly detection method for vehicle-mounted CAN bus

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Embodiment Construction

[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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Abstract

The invention discloses an anomaly detection method for a vehicle-mounted CAN bus, and belongs to the technical field of information security. The invention provides an anomaly detection method of a vehicle-mounted CAN bus for message data bits of the vehicle-mounted CAN bus. According to the characteristics of the data bits, the data bits of the vehicle-mounted CAN bus message are divided into eight characteristics which respectively represent different instruction meanings and carry important control information, and the method is particularly important for anomaly detection of the data bits. Abnormality detection of CAN message data can be regarded as a dichotomy problem, normal data and abnormal data in machine learning. According to the method of the support vector machine, classification with small errors can be obtained through limited training samples, and the classification accuracy is high. According to the invention, a support vector machine (SVM) method is adopted to realize anomaly detection of the vehicle-mounted CAN bus.

Description

technical field [0001] The invention belongs to the technical field of information security, and more specifically, the invention relates to an abnormal detection method of a vehicle-mounted CAN bus. Background technique [0002] With the development of intelligent and networked vehicles, intelligent networked vehicles have become the development direction of automotive informatization. In recent years, information security incidents against automobiles have occurred frequently, and the information security of connected vehicles has become prominent. It is imminent to study the information security of connected vehicles and vehicle network systems. CAN bus is currently the most widely used vehicle bus network technology. With the emergence of automotive information security issues, malicious attacks directly penetrate into the vehicle CAN bus network through external interfaces, seriously endangering the personal and property safety of drivers and passengers. CAN bus lacks ...

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Application Information

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IPC IPC(8): G06F11/22G06K9/62
CPCG06F11/221G06F18/2411G06F18/214
Inventor 韩牟倪佳庆马世典
Owner JIANGSU UNIV
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