Vehicle-mounted network intrusion detection method based on message sequence prediction

Abstract

The invention discloses a vehicle-mounted network intrusion detection method based on message sequence prediction. The vehicle-mounted network intrusion detection method comprises the following steps:step 1, collecting reverse control over CAN bus data and private protocols related to an automobile bus, an automobile body bus and a power transmission system bus through a T-BOX vehicle-mounted terminal; step 2, forming an operation scene according to three attack ways of automobile information security to analyze possible security threats of the vehicle; step 3, performing learning training according to the data set obtained in the step 1 and the abnormal message feature library obtained in the step 2 to form an evaluation detector; and step 4, carrying out detection verification on the input message through an evaluation detector. According to the vehicle-mounted network intrusion detection method based on message sequence prediction provided by the invention, through setting from thestep 1 to the step 4, an attack type message can be learned by a system and then identified, so that an anti-attack effect is realized.

Description

Technical field [0001] The invention relates to a detection method, and more specifically to a vehicle-mounted network intrusion detection method based on message sequence prediction. Background technique [0002] The development of intelligent transportation networks has brought people a more convenient life, improved transportation efficiency, ensured traffic safety, reduced driving risks, and greatly increased travel comfort and improved energy efficiency. However, many vehicle safety incidents have posed new challenges to the intelligent transportation method with intelligent networked vehicles as the core. The data security, communication security and method functional safety of intelligent networked vehicles have become the key to the development of intelligent transportation methods-not only There is the possibility of vehicle information leakage, and there is even a large-scale control of connected vehicles, resulting in a huge risk of major social incidents. [0003] Mass...

AI Technical Summary

Problems solved by technology

In the case of limited computing resources, these methods generally have problems in detection accuracy, false positive rate, memory consumption, etc.

Big data analysis, as a method based on statistical methods to realize feature extraction and reasoning of a large amount of data, can provide theoretical support for car driving behavior analysis and dangerous state identification, but there are few studies on car network security detection.

Images