计算机与现代化 ›› 2011, Vol. 193 ›› Issue (9): 134-136.doi: 10.3969/j.issn.1006-2475.2011.09.036

• 信息安全 • 上一篇    下一篇

基于数据挖掘的网络实时入侵检测体系结构的研究

何敏   

  1. 江西理工大学软件学院, 江西 南昌 330013
  • 收稿日期:2011-03-18 修回日期:1900-01-01 出版日期:2011-09-22 发布日期:2011-09-22

Research on Network Realtime Intrusion Detection Constructure Based on Data Mining

HE Min   

  1. College of Software, Jiangxi University of Science and Technology, Nanchang 330013, China
  • Received:2011-03-18 Revised:1900-01-01 Online:2011-09-22 Published:2011-09-22

摘要: 随着网络技术和规模的不断发展,信息安全已成为用户必须面对且不可避免的问题,基于数据挖掘的网络实时入侵检测模型依据数据挖掘的算法建立入侵检测机制,可以有效地进行入侵检测,从而保护用户信息安全。

关键词: 数据挖掘, 入侵检测, 信息安全, 网络, 实时

Abstract: With the development of the technology and scale of network, information security has been become the important problem of people, the real-time module of intrusion detection based on data mining builds a effective mechanism for intrusion detection according to the algorithm of data mining, it is effective for intrusion detection, and it can protect user’s information security.

Key words: data mining, intrusion detection, information security, network, real-time

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