Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
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: zhaogaoli@hist.edu.cn.
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
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl