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Issue title: Special section: Artificial Intelligence driven Big Data Analytics for COVID-19
Guest editors: Xiaolong Li
Article type: Research Article
Authors: Zhao, Gaolia; b; * | Song, Junpingc
Affiliations: [a] School of Information Engineering, Henan institute of Science and Technology, Xinxiang, China | [b] School of Information Engineering, Wuhan University of Technology, Wuhan, China | [c] Xinke college, Henan institute of Science and Technology, Xinxiang, China
Correspondence: [*] Corresponding author. Gaoli Zhao, School of Information Engineering, Henan institute of Science and Technology, 453003, Xinxiang, China. E-mail: [email protected].
Abstract: To build a network security system combining active defense and passive defense during covid-19, we need to break the original Castle type passive defense concept and build a reliable, controllable, flexible and active network environment to find defense points. The key is that the system should be able to actively predict and control our defenses. Any scheme cannot achieve absolute safety, only to minimize the probability of safety accidents, through various measures to assess and predict the possible points of safety accidents, and actively prevent the occurrence of accidents. In the management and construction of network security, we should realize that network security management is a comprehensive system engineering. We should start from the three aspects of strategy, management and technology, and build a more effective and reliable network security system on the basis of traditional passive defense and active defense technology, which can better maintain big data security during covid-19.
Keywords: Network security model, active defense technology, active passive defense, network security system
DOI: 10.3233/JIFS-189287
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8897-8905, 2020
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