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 device based on deep learning, relating to the field of wireless network safety. The device comprises a data acquisition module, a data fusion module, a preprocessing module, a storage module, an intrusion detection module and a response warning module. After fusion and redundancy elimination of captured wireless data packages, network behavior features are extracted and stored; after deep learning of the network behavior features, a deep neural network model expressing network behaviors is established; and to-be-detected network data is input into the deep neural network model, after intrusion is judged and recognized, response and warning are performed. According to the method, network behavior feature vectors which are detected and are considered to be abnormal are stored and are used for training the deep neutral network. When occurring again, the intrusion types can be detected and recognized. While the model training and detection efficiency are guaranteed, the detection accuracy is improved, and the safety of the mobile ad hoc network is further improved.

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 leads to different problems for intrusion detection system (Intrusion Detection System, IDS) in Ad hoc network. Ad hoc 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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