A log-based mining system for network node correlation

被引：1

作者：

Zhang, YZ ^{[1
]}

Fang, BX ^{[1
]}

Chi, Y ^{[1
]}

Yun, XC ^{[1
]}

机构：

[1] Harbin Inst Technol, Res Ctr Comp Network & Informat Secur Technol, Harbin 150001, Peoples R China

来源：

EC2ND 2005, PROCEEDINGS | 2006年

基金：

中国国家自然科学基金;

关键词：

network risk assessment; network node correlation; Bayesian network; system log;

D O I：

10.1007/1-84628-352-3_17

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the field of network security, people become aware of the importance of study on the connectivity between network nodes. Based on analyzing the connectivity, this paper introduces a conception of network node correlation (NNC) and designs a novel log-based NNC mining system which adopts a typical distributed architecture based on agent. By means of bayesian network, this system can accurately and effectively mine high-level NNCs on application layer. The mined results can provide useful information for some security fields such as network risk assessment, vulnerability and intrusion detection, and virus propagation.

引用

页码：167 / +

页数：2

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