Affiliations: School of Economics and Management, Henan Institute of Science and Technology, Xinxiang Henan, China
Correspondence:
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Corresponding author. Min Chang, School of Economics and Management, Henan Institute of Science and Technology, Xinxiang Henan 453003, China. E-mail: [email protected].
Abstract: Traditional network security job service model and single security technology cannot keep up with the changes of complex network structure and different intrusion measures. Network security job service model relying on rough dataset analysis algorithm has many advantages, such as low management cost, high flexibility and wide applicability. Rough dataset analysis algorithm can not only collect data, but also process data, but overcome the shortcomings of traditional network security job service model. It will improve response speed and reduce network burden. This paper introduces the construction of network security job service model, which based on rough dataset analysis algorithm into a new network security framework.
Keywords: Key words: Policy management, dynamic network, rough dataset analysis
algorithms, network security job service model
