Communication Network Active Defense Method Based on Multi-Objective Evolutionary Algorithm

Authors

  • Yunting Tang Department of Electronic Information Engineering, Beihai Vocational College, Beihai 536000, China
  • Xihui Lin Department of Electronic Information Engineering, Beihai Vocational College, Beihai 536000, China

Abstract

In order to improve the security of communication networks, in view of the existing network defense methods that have low convergence, low defense success rate and so on, this paper proposes an active defense method for communication networks based on the multi-objective evolutionary algorithm. Applying the theory of pre-attribution reduction, the network scale is reduced, and the fault tolerance of error points in the subplot is determined to detect the intrusion nodes. Using the multi-target evolution algorithm based on TE decomposition, the common attack point location and attack mode of the attack side are analyzed. Based on the kernel density estimation value, the sensing position is set to obtain the optimal target, and the communication network is actively defended. Experimental tests show that under the influence of different levels of attack events, the probability of success of the proposed defense method against different types of attack events is higher than that of traditional defense methods, and is more in line with the current defense requirements.

Keywords: multi-objective evolutionary algorithm, communication network, active defense, network detection, intrusion node, network scale

Cite As

Y. Tang, X. Lin, "Communication Network Active Defence Method Based on Multi-Objective Evolutionary Algorithm", Engineering Intelligent Systems, vol. 30 no. 2, pp. 105-114, 2022.


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Published

2022-03-01

Issue

Vol. 30 No. 2 (2022): International Journal of Engineering Intelligent Systems

Section

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