Intrusion detection method fused with improved intelligent bee colony algorithm and BP neural network

Abstract

The invention discloses an intrusion detection method fused with an improved intelligent bee colony algorithm and a BP neural network. The intrusion detection method includes the following steps: collecting network data packets and preprocessing the network data packets to take the preprocessed network data packets as training data of an intrusion detection model; designing a multi-layer neural network model, and setting activation functions for neurons of a hidden layer and an output layer; pre-training the neural network model by using the improved intelligent bee colony algorithm, and outputting the optimal honey source position vector; according to the optimal honey source position vector, setting the initial weight and threshold of the neural network model; designing a back propagation algorithm and using the intrusion detection data to train the neural network to obtain a neural network intrusion detection model; and designing a network intrusion detection software module and deploying the network intrusion detection software module in a network environment to detect the network data traffic in real time, and generating an alarm for the detected abnormal network traffic. Theintrusion detection method fused with the improved intelligent bee colony algorithm and the BP neural network adopts the improved intelligent bee colony algorithm to optimize the BP neural network, and can improve the training speed of the neural network model and the accuracy for intrusion detection.

Description

technical field [0001] The invention relates to the field of network security, in particular to an intrusion detection method which integrates and improves an intelligent bee colony algorithm and a BP neural network. Background technique [0002] With the development of Internet technology, it is more convenient for people to interconnect and communicate through the network, and various services provided through the network facilitate people's life and work. However, the problem of network security is also becoming more and more prominent, criminals may seek benefits by infringing on the network, so the detection and defense of network attacks is called a hotspot of network security. Attackers usually use the flaws of network protocols to carry out attacks, mainly including denial of service attacks, user privilege escalation attacks, remote-to-local attacks, port scanning attacks, etc. At present, methods for detecting attacks include methods based on classification and cl...

AI Technical Summary

Problems solved by technology

These methods have complete theoretical analysis and mathematical proofs, and have achieved good results in continuous and low-dimensional optimization problems, but they are somewhat powerless for multi-peak, high-dimensional and discontinuous optimization problems.

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