Collection policy refining method for threat monitoring in complex network environment

Personalized collect policy is one of the necessary conditions for effectively monitoring threats in the complex network environment.However,differences in security requirements and threat types make it difficult to effectively generate personalized collect policy.To address the above problem,a coll...

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Bibliographic Details
Main Authors: Fenghua LI, Zifu LI, Ling LI, Ming ZHANG, Kui GENG, Yunchuan GUO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2019-04-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019096/
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Summary:Personalized collect policy is one of the necessary conditions for effectively monitoring threats in the complex network environment.However,differences in security requirements and threat types make it difficult to effectively generate personalized collect policy.To address the above problem,a collection policy automatic refinement method was designed.Firstly,a hierarchical model of collection policy was proposed.Then,by transforming the policy refinement into a nonlinear optimization problem,a genetic algorithm was designed to balance between collection revenue and collection cost.Finally,simulation experiments verify that according to the requirements of high-level monitoring,the acquisition scheme can be automatically generated.
ISSN:1000-436X