Abnormity monitoring method and device for vehicle CAN bus and computer equipment

Abstract

The invention provides a abnormity monitoring method and device of a vehicle CAN bus, and a computer device, and the method comprises the steps: sending heartbeat messages to each target device according to a preset diagnosis protocol and each diagnosis bus identifier in a to-be-monitored device list after a fuzzy test is carried out at an interval of a preset number of times; receiving confirmation information corresponding to the heartbeat message fed back by each target device, and determining the current state of each target device according to the confirmation information; and comparing the current state of each target device with the state of each target device acquired last time, and determining whether the abnormity is monitored or not. The problem that whether the vehicle bus is abnormal or not is mainly judged manually, the cost is high, and the efficiency ratio is low, and abnormal monitoring cannot be automatically carried out in the prior art can be solved. Through comparing the current state of each target device with the state of each target device obtained last time after every other group of test cases in the fuzzy test process, whether the abnormity is monitored or not is determined, automatic abnormity monitoring of the bus is realized, and the bus abnormity monitoring efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of vehicle safety, in particular to a vehicle CAN bus abnormality monitoring method, device and computer equipment. Background technique [0002] Usually, in traditional fuzzing application scenarios, the system interface or network port provided by the operating system is usually used to run an additional monitoring program to monitor whether there is a vulnerability in the service to be tested. Since the vehicle CAN bus communication program usually runs in the electronic device, However, most electronic devices do not have an operating system, so they cannot find loopholes by running monitoring programs during fuzz testing, for example, memory abnormality monitoring methods and COMMAND monitoring methods. [0003] Therefore, at present, it is mainly to manually observe whether the functions of electronic devices or related devices are normal or stop working, and there is a lack of an abnormality...

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Problems solved by technology

[0005] For this reason, this application proposes a kind of abnormality monitoring method, device and computer equipment of vehicle CAN bus, solves the problem in the prior art mainly by manually judging whether the vehicle bus occurs Abnormal, high cost and low efficiency, and technical problems that cannot be automatically monitored for abnormalities. After every other set of test cases in the fuzzing test process, the current state of each target device is compared with the state of each target device obtained last time. , to determine whether an abnormality is detected, realize the automatic abnormality monitoring of the bus, and improve the efficiency of bus anomaly monitoring

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