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用关联方法推测网络蠕虫的传播路径

周建秋 石伟 李强

吉林大学学报(理学版)2009,Vol.47Issue(6):1241-1245,5.
吉林大学学报(理学版)2009,Vol.47Issue(6):1241-1245,5.

用关联方法推测网络蠕虫的传播路径

Tracing of Worm Propagation Path Correlation

周建秋 1石伟 2李强2

作者信息

  • 1. 吉林省血液中心,长春,130061
  • 2. 吉林大学,计算机科学与技术学院,长春,130012
  • 折叠

摘要

Abstract

Though worm is randomly spread, there exists implicit causality between adjacent infected nodes. Based on the analysis of causality, we presented an improved online tracing algorithm-Bayesian network correlation algorithm to acquire worm propagation path, and analyzed and verified its accuracy and performance through simulation experiments. Experiment result indicates that the detection accuracy of Bayesian network correlation algorithm has been increased by a factor of 10% compared to that of our previous work, this improved algorithm is more suitable for online detection.

关键词

蠕虫/传播路径/关联/贝叶斯网络

Key words

worm/ propagation path/ correlation/ Bayesian network

分类

信息技术与安全科学

引用本文复制引用

周建秋,石伟,李强..用关联方法推测网络蠕虫的传播路径[J].吉林大学学报(理学版),2009,47(6):1241-1245,5.

基金项目

国家自然科学基金(批准号: 60703023)和吉林省科技发展计划项目基金(批准号: 20080108). (批准号: 60703023)

吉林大学学报(理学版)

OA北大核心CSCDCSTPCD

1671-5489

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