A vehicle intrusion detection method and device

A technology for intrusion detection and vehicles, applied in data exchange through path configuration, instruments, data exchange networks, etc., can solve problems such as inability to identify and warn abnormal messages, lack of authentication and message verification mechanisms, etc.

Active Publication Date: 2020-10-27
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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  • A vehicle intrusion detection method and device
  • A vehicle intrusion detection method and device
  • A vehicle intrusion detection method and device

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Experimental program
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Embodiment

[0036] Such as 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 ...

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Abstract

The invention discloses a vehicle intrusion detection method and device. The steps of the method include: collecting high-dimensional CAN data on the vehicle-mounted CAN bus during vehicle operation; Clustering; using the nonlinear manifold learning method to obtain the low-dimensional manifold of the detection data of each data cluster; collecting CAN data in a simulated normal driving environment, constructing a normal data set and training to obtain a standard low-dimensional manifold; according to the characteristics of the vehicle, the detection The data low-dimensional manifold is compared with the standard low-dimensional manifold in three-dimensional space to determine whether the vehicle has an intrusion event. The invention performs intrusion detection based on the geometry of CAN data, has fast detection speed, satisfies the continuous delivery of CAN messages during the driving process of the vehicle, and can detect the vehicle 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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Patent Type & Authority Patents(China)
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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