A vehicle networking intrusion detection method and system based on deep reinforcement learning

Abstract

The invention discloses a vehicle network intrusion detection method and system based on deep reinforcement learning. The method includes: calculating statistical characteristics of traffic data at historical moments; establishing a traffic prediction model based on deep reinforcement learning algorithm-deep deterministic strategy gradient algorithm; The input of the traffic prediction model is the statistical feature, and the output is the predicted traffic; the intrusion detection model is established based on the deep deterministic policy gradient algorithm; the input of the intrusion detection model is the statistical feature and the predicted traffic, and the output is A traffic threshold; by comparing the predicted traffic with the traffic threshold, the intrusion detection of the Internet of Vehicles is performed. The invention can take into account the complexity and variability of the Internet of Vehicles, the limited computing resources of the infrastructure server and the accuracy of network intrusion detection, and is more practical. For a complex system such as the Internet of Vehicles, the intrusion detection method based on deep reinforcement learning proposed by the present invention has better performance than other commonly used methods at present.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a vehicle network intrusion detection method and system based on deep reinforcement learning. Background technique [0002] With the continuous development and successful application of communication network technology, people have put forward higher requirements for Internet of Vehicles services, which directly leads to the increasingly complex structure of Internet of Vehicles. With the increasing complexity and connectivity of modern vehicles, the network security risks of the Internet of Vehicles are becoming more and more prominent. In order to ensure the security and normal operation of the network, real-time and reliable security enhancement methods are essential. As a lightweight security enhancement method, the intrusion detection system can well detect internal and external threats to the network, and has good cost-effectiveness and high compatibility. It is c...

AI Technical Summary

Problems solved by technology

[0004] Although many methods have been proposed to improve the accuracy of intrusion detection, a significant problem is that it is difficult to select effective features to model normal behavior.

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