用关联方法推测网络蠕虫的传播路径

Abstract

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.

Key words: worm, propagation path, correlation, Bayesian network

CLC Number:

TP393

ZHOU Jianqiu, SHI Wei, LI Qiang. Tracing of Worm Propagation Path Correlation[J].J4, 2009, 47(6): 1241-1245.

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Tracing of Worm Propagation Path Correlation

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