A mobile ad hoc network intrusion detection method and device based on deep learning

Abstract

The invention discloses a mobile ad hoc network intrusion detection method and equipment based on deep learning, and relates to the field of wireless network security. The device of the present invention includes a data acquisition module, a data fusion module, a preprocessing module, a storage module, an intrusion detection module, and a response alarm module, and after the captured wireless data packets are fused and de-redundant, network behavior characteristics are extracted and stored; After in-depth learning of network behavior characteristics, a deep neural network model is established to express network behavior; the network data to be detected is input into the deep neural network model, and the intrusion judgment and identification are completed to respond to the alarm. The method of the invention stores the detected abnormal network behavior feature vectors and uses them to train the deep neural network, and when these intrusion types occur again, they can be detected and identified. On the premise of ensuring model training and detection efficiency, the invention improves the detection accuracy and further improves the security of the mobile ad hoc network.

Description

technical field [0001] The invention relates to the fields of mobile ad hoc networks and deep learning, especially an intrusion detection method and device in ad hoc networks. Background technique [0002] The difference between mobile ad hoc (Ad hoc) network and fixed wired network causes intrusion detection system (IntrusionDetection System, IDS) to face different problems in Ad hoc network. Adhoc networks use open wireless channels without fixed routers, making them more vulnerable to intrusion. Ad hoc networks have no fixed infrastructure, so IDS cannot collect statistics well, and the collected network characteristics are limited to specific wireless communication ranges. Therefore, it is urgent to solve the problems faced by the intrusion detection technology in the mobile ad hoc network, so as to enhance the security protection system of the network. [0003] Deep learning has shown great performance on machine learning problems with big data and multi-dimensional f...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the current ad hoc network is facing very complex security threats, and the intrusion detection technology for the ad hoc network still lacks mature research results, and cannot well meet the security requirements of the ad hoc network. An intrusion detection method in a mobile ad hoc network, which can improve the detection accuracy on the premise of ensuring model training and detection efficiency

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