Vehicle-mounted network simulation data set generation method based on intrusion attacks

Abstract

The invention discloses a vehicle-mounted network simulation data set generation method based on intrusion attacks. The method comprises the following steps: 1, according to five network security attributes of confidentiality, integrity, availability, authenticability and auditability; 2, analyzing the characteristics and differences of vehicle-mounted network architectures and vehicle-mounted systems of different vehicle types, and carrying out the reverse technology and method according to different protocols; 3, building a real vehicle attack experiment platform through a vehicle-mounted bus test tool Vehicle Spy, and achieving replay, spoofing and flooding attacks; 4, on the basis of the attack experiment platform in the step 2, performing statistics and analysis of abnormal behaviorsby adopting a large amount of simulation attack data; 5, performing programming languages such as Java, C and Python are adopted, offline data processing on the data collected by the real vehicle, andconstructing a simulation data set. According to the vehicle-mounted network simulation data set generation method based on the intrusion attacks, the data set can be effectively generated on the basis of the intrusion attack.

Description

technical field [0001] The invention relates to the technical field of automobile information security, is applicable to the research on the safety protection of vehicle-mounted network information, and specifically relates to a method for generating a vehicle-mounted network simulation data set based on an intrusion attack. Background technique [0002] Intelligentization has promoted the continuous increase in the number of electronic control units inside the car, and the upgrade of the network has increased the interconnection between vehicle information and the outside world. The risk of information security in intelligent networked vehicles continues to increase, and vehicle information and user privacy are facing a huge security test. . Information security issues of intelligent connected vehicles will not only cause privacy leakage and property loss to users, but also cause personal injury and even cause public safety issues. [0003] As an active vehicle information...

AI Technical Summary

Problems solved by technology

However, the complexity of the internal architecture of intelligent networked vehicles and the variability of external communication links have led to increasing difficulties in vehicle network security threat tracing and security protection. Existing security protection technologies and intrusion detection methods can only protect against one or a certain The form of attack in a specific scenario has limited security protection capabilities and scope of application for complex and changeable network communication environments

In addition, there are still many problems in the detection range and detection performance of the abnormal behavior detection of the vehicle network, and it is still unable to deal with the complex and changeable vehicle network information security threats and various types of attacks.

[0004] Aiming at the series of problems in the research of automotive intrusion detection technology, one of the main reasons is that in the construction of vehicle network abnormal behavior data, researchers rarely systematically consider the variability of attacks and complex attack data generation methods from the perspective of actual attacks.

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