Vehicle internal network safety detection method and device, and vehicle

Abstract

An embodiment of the invention discloses a vehicle internal network safety detection method and device, and a vehicle. The method comprises the steps of building a vehicle running model according to an incidence relation between a plurality of running characteristic parameters of the vehicle; training the vehicle running model to obtain a vehicle running prediction model and obtain a running parameter value carried by a control instruction which is transmitted on a vehicle internal network bus; obtaining a predicted value of a first running characteristic parameter based on the vehicle running prediction model, and detecting the running parameter value and the predicted value of the first running characteristic parameter according to an intrusion detection rule so as to judge whether an attack occurs or not. By the safety detection methodand device, and the vehicle disclosed by the embodiment of the invention, the vehicle running prediction model is built based on neural network and machine learning, and whether the predicted value of the running characteristic parameter matches the running parameter value carried by the control instructionis judged, so that whether the attack occurs or not is determined; the safety to use the vehicle is improved; vehicle accidents are reduced, and life and property safety of drivers is effectively protected.

Description

technical field [0001] The invention relates to the technical field of automobile control, in particular to an automobile internal network security detection method and device, and an automobile. Background technique [0002] At present, cars can be connected to the Internet through 3G / 4G networks, Bluetooth, wifi, etc. The internal network of the car can obtain resources from the external network, for example, videos, music, etc. can be downloaded from the Internet, or the car can be remotely controlled. More and more cars are connected to the Internet or the Internet of Things. Hackers can attack cars connected to the network, which can threaten the driving safety of vehicles and the privacy of drivers and passengers. The field of car security is a hot topic in current research. When the internal network of the car is connected to the external network, such as the Internet, the Internet of Things, etc., the external attacker can send control data packets to the internal ne...

AI Technical Summary

Problems solved by technology

When the internal network of the car is connected to the external network, such as the Internet, the Internet of Things, etc., the external attacker can send control data packets to the internal network of the car after cracking the network, such as controlling the vehicle speed and engine speed. Data packet, the controller connected to the internal network of the car receives the control data packet sent by the hacker, and executes the operation corresponding to the control data packet, causing the vehicle to overspeed, turn too fast, etc., which is likely to bring danger

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