Open Access

ARTICLE

Design of Cybersecurity Threat Warning Model Based on Ant Colony Algorithm

Weiwei Lin^1,2,*, Reiko Haga³

1 School of Electronic and Information Engineering, Fujian Polytechnic Normal University, Fuqing, 350300, China
2 Engineering Research Center for ICH Digitalization and Multi-Source Information Fusion, Fujian Province University, Fuqing, 350300, China
3 CommScope Japan KK, Nagatacho, Tokyo, 100-0014, Japan

* Corresponding Author:Weiwei Lin. Email:

Journal on Big Data 2021, 3(4), 147-153. https://doi.org/10.32604/jbd.2021.017299

Received 11 May 2021; Accepted 25 June 2021; Issue published 20 December 2021

Abstract

In this paper, a cybersecurity threat warning model based on ant colony algorithm is designed to strengthen the accuracy of the cybersecurity threat warning model in the warning process and optimize its algorithm structure. Through the ant colony algorithm structure, the local global optimal solution is obtained; and the cybersecurity threat warning index system is established. Next, the above two steps are integrated to build the cybersecurity threat warning model based on ant colony algorithm, and comparative experiment is also designed. The experimental results show that, compared with the traditional qualitative differential game-based cybersecurity threat warning model, the cybersecurity threat warning model based on ant colony algorithm has a higher correct rate in the warning process, and the algorithm program is simpler with higher use value.

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Keywords

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