A wireless local area network intrusion detection method and system based on deep learning

Abstract

The invention discloses a wireless local area network intrusion detection system based on deep learning, and relates to the field of network space security. The system comprises model learning and intrusion detection, the model learning is responsible for pre-constructing an RNN neural network, and intrusion detection uses the constructed RNN neural network to complete an intrusion detection taskin real time. An LSTM recurrent neural network is adopted to carry out classification prediction on data traffic of a wireless local area network with a time sequence characteristic; the type of the target network traffic sequence is judged according to the output predicted by the identification module; The intrusion behavior in the target network is identified, different granularity processing isperformed according to the set priorities and processing methods, early warning and prevention are performed on possible information security problems, the confidentiality, the usability and the integrity of the wireless local area network are guaranteed, and the security level of the wireless local area network is improved.

Description

technical field [0001] The invention relates to the technical field of network space security, in particular to a wireless local area network intrusion detection method and system. Background technique [0002] As a main application scenario of the Internet of Things, smart home devices have entered thousands of homes. In the field of smart homes, wireless communication technology is widely used for the interconnection of devices. The 802.11 series standards clearly stipulate that wireless local area networks (WLANs) The implementation on the media access control layer (MAC) and the physical layer (PHY) can provide basic and reliable wireless device interconnection for smart homes. The usual solution is to use a wireless router as a gateway to build a smart home that includes various smart home devices. WLANs form a star topology. By connecting smart home devices to the Internet, users can remotely view, control, and manage smart home devices at home at any time. However, ...

AI Technical Summary

Problems solved by technology

In 2018, a wireless sensor intrusion detection method based on deep learning (CN108234500A) disclosed an intrusion detection method that uses a deep belief network for feature learning, constructs a base classifier, and then uses a random forest algorithm to combine multiple classifiers. The method is mainly applicable to wireless sensor networks, and has not formed an effective system for wireless sensor network intrusion detection

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