Applying data mining techniques to analyze alert data

被引:0
|
作者
Shin, M
Moon, H
Ryu, K
Kim, K
Kim, J
机构
[1] Chungbuk Natl Univ, Database Lab, Cheongju, Chungbuk, South Korea
[2] Elect & Telecommun Res Inst, Network Secur Dept, Taejon 305606, South Korea
来源
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D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Architecture of the policy-based network management has a hierarchical structure that consists of management layer and enforcement layer. A security policy server in the management layer should be able to generate new policy, delete, update the existing policy and decide the policy when security policy is requested. Therefore the security policy server must analyze and manage alert messages received from policy enforcement system. In this paper, we propose an alert analyzer with data mining engine. It is a helpful system to manage the fault users or hosts. The implemented mining system supports the alert analyzer and the high level analyzer efficiently for the security policy management.
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收藏
页码:193 / 200
页数:8
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