An Intrusion Detection Method Based on Two-way Optimal Support Vector Machine of Taboo and Artificial Bee Colony

Abstract

The invention discloses an intrusion detection method based on tabu and artificial bee colony two-way optimization support vector machine. Firstly, the original artificial bee colony algorithm is reconstructed. The initial solution of the nectar source is generated randomly, and the optimal feature subset is searched based on the taboo-artificial bee colony search strategy. Specifically, it includes introducing the first taboo table in the initial search stage of hired bees, storing and memorizing the local optimal solutions found, and avoiding these local optimal solutions in the subsequent predetermined iterations; introducing the second taboo table in the observation bee stage At the same time, a reward and punishment mechanism is added to improve the fitness function of honey sources and increase the diversity of solutions; finally, a third taboo table is introduced in the scout bee stage to store solutions that have reached the maximum number of developments but whose fitness value has not improved. The invention has strong feasibility and good practicability.

Description

[0001] technology neighborhood [0002] The invention relates to the technical field of network security, in particular to an intrusion detection method based on a taboo and artificial bee colony bidirectional optimization support vector machine. Background technique [0003] In recent years, with the increasing scale of the network, while the computer network has brought convenience to people's life and work, the methods of network intrusion and attack have become more complex, and the losses caused by various destructive network attacks have become increasingly serious. Although traditional security defense methods and strategies have played a protective role in network security to a certain extent, they have been unable to prevent complex, changeable and increasingly rampant intrusions. Intrusion Detection System) came into being. This kind of active protection strategy technology has been valued by experts and scholars at home and abroad, and how to study an effective int...

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Problems solved by technology

[0005] What the present invention aims to solve is that the feature selection search efficiency in the existing intrusion detection model is not high, the minimum feature subset search cannot be solved, and the search and modeling are difficult to optimize parameters simultaneously. Intrusion Detection Method Based on Group Bidirectional Optimal Support Vector Machine

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