Network security model based on active defense and passive defense hybrid strategy

Author:

Zhao Gaoli12,Song Junping3

Affiliation:

1. School of Information Engineering, Henan institute of Science and Technology, Xinxiang, China

2. School of Information Engineering, Wuhan University of Technology, Wuhan, China

3. Xinke college, Henan institute of Science and Technology, Xinxiang, China

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

1. A model for evaluating computer network security systems with 2-tuple linguistic information;Zhang;Computers & Mathematics with Applications,2011

2. Network security: Protocol reference model and the trusted computer system evaluation criteria;Abrams;IEEE Network,1987

3. Game-Model-Based Network Security Risk Control;Ni;Computer,2018

4. Cloud Belief Rule Base Model for Network Security Situation Prediction;Hu;IEEE Communications Letters,2016

5. Model-based configuration management of security systems in complex network environments;by de Albuquerque;Journal of Plant Physiology,2013

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3