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Vehicle intrusion detection method and device

An intrusion detection and vehicle technology, applied in the direction of data exchange, transmission system, instrument, etc. through path configuration, can solve the problems of lack of authentication and message verification mechanism, inability to identify and early warning of abnormal messages, and achieve fast and strong detection speed. Scalability, the effect of reducing power consumption

Active Publication Date: 2020-06-05
JINAN UNIVERSITY
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Problems solved by technology

In view of the characteristics of the CAN bus, attackers can carry out attacks such as message forgery, denial of service, and replay through physical intrusion or remote intrusion; attackers can reverse the bus communication protocol, analyze car control commands, and forge legal CAN messages; Secondly, due to the lack of authentication and message verification mechanisms, the vehicle control system cannot identify and warn of abnormal messages forged or tampered by attackers

Method used

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  • Vehicle intrusion detection method and device
  • Vehicle intrusion detection method and device
  • Vehicle intrusion detection method and device

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Experimental program
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Embodiment

[0036] like figure 1 As shown, the present embodiment provides a vehicle intrusion detection method, comprising the following steps:

[0037] S1: Collect high-dimensional CAN data on the CAN bus during vehicle operation. The high-dimensional CAN data collection method in this embodiment is automatically and continuously collected by the high-speed, low-power TJA1042CAN transceiver. The collected CAN data is based on data The continuous byte pair of the frame is used as the data analysis unit. The data field in the data frame of this embodiment is composed of 0 to 8 bytes. The continuous two bytes in the data frame Data field are selected as the continuous byte pair. Different vehicle manufacturers The definition of the byte pair is different. In this embodiment, the vehicle state parameters corresponding to the byte pair are analyzed, and the CAN data is high-dimensional and time-sequential;

[0038] S2: Use the spectral clustering algorithm based on the manifold distance ker...

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Abstract

The invention discloses a vehicle intrusion detection method and device. The method comprises the steps: collecting high-dimensional CAN data on a vehicle-mounted CAN bus in the vehicle running process; clustering the high-dimensional CAN data based on a spectral clustering algorithm of a manifold distance kernel; obtaining a detection data low-dimensional manifold of each data cluster by adoptinga nonlinear manifold learning method; collecting CAN data in a simulated normal driving environment, constructing a normal data set and performing training to obtain a standard low-dimensional manifold; according to vehicle characteristics, comparing the detection data low-dimensional manifold with a standard low-dimensional manifold in a three-dimensional space, and judging whether an intrusionevent occurs in the vehicle or not. Intrusion detection is carried out based on the geometrical shape of the CAN data, the detection speed is high, continuous delivery of CAN messages in the vehicle driving process is met, and the vehicle can be detected in real time.

Description

technical field [0001] The invention relates to the technical field of vehicle safety detection, in particular to a vehicle intrusion detection method and device. Background technique [0002] The safety of the vehicle CAN bus is very important to the normal driving of the vehicle. Currently, the risk of CAN lies in the lack of effective CAN communication encryption and access control mechanisms. In view of the characteristics of the CAN bus, attackers can carry out attacks such as message forgery, denial of service, and replay through physical intrusion or remote intrusion; attackers can reverse the bus communication protocol, analyze car control commands, and forge legal CAN messages; Secondly, due to the lack of authentication and message verification mechanisms, the vehicle control system cannot identify and warn of abnormal messages forged or tampered by attackers. Contents of the invention [0003] In order to overcome the defects and deficiencies in the prior art,...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L12/40G06K9/62
CPCH04L63/1441H04L12/40H04L2012/40215H04L2012/40273G06F18/2323G06F18/213G06F18/22G06F18/23213
Inventor 孙恒黄卫林翁健刘志全
Owner JINAN UNIVERSITY
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