4.2 Article

Monitoring Research of Network Security Information System Based on Rough Set Data Mining

期刊

SCIENTIFIC PROGRAMMING
卷 2022, 期 -, 页码 -

出版社

HINDAWI LTD
DOI: 10.1155/2022/1687400

关键词

-

资金

  1. Ministry of Education of Science and Technology Development Center of Production Innovation Fund China's Colleges and Universities
  2. [2020 IT A07027]

向作者/读者索取更多资源

With the rapid development of Internet technology in recent years, network security has become an increasingly important issue. Data mining technology has been widely used in processing network information. Rough set data mining, as a method to directly analyze and reason data, has unique advantages in information processing by discovering implicit knowledge and revealing potential laws. Therefore, it is of great significance to conduct research on monitoring network security information system based on rough set data mining.
In recent years, with the explosive development of Internet technology, network security has gradually become a hot issue. At present, data mining technology has been widely used in processing network information. Rough set theory is a natural data mining or knowledge discovery method because the purpose and starting point of the research is to directly analyze and reason the data, discover the implicit knowledge and reveal the potential laws. Rough set data mining has unique advantages in processing information, so it is necessary to carry out research on monitoring network security information system based on rough set data mining. The purpose of this article is to solve how to implement network security problems of information system of monitoring, through research the related contents of rough set data mining technology, based on the two kinds of data pre-processing algorithm, data mining based on rough sets is discussed in detail the two kinds of data pre-processing algorithm in network security information system monitoring, especially the feasibility of the invasive monitoring. The results show that the two data pre-processing algorithms based on rough set data mining can effectively realize the monitoring function of common network security information system and improve the security of network security information system to some extent. The simulation results show that the monitoring accuracy of these two data pre-processing algorithms in the common network security information system is as high as 98.5%, which is about 12% higher than the accuracy of the general system.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据