A network event correlation algorithm based on fault filtration

Authors:
Qiuhua Zheng;Yuntao Qian;Min Yao
Affiliations:
Computational Intelligence Research Laboratory, College of Computer Science, Zhejiang University, China and State key Laboratory of Information Security, Institute of Software of Chinese Academy o ...;Computational Intelligence Research Laboratory, College of Computer Science, Zhejiang University, China and State key Laboratory of Information Security, Institute of Software of Chinese Academy o ...;Computational Intelligence Research Laboratory, College of Computer Science, Zhejiang University, China
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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Abstract

This paper proposed a new event correlation technique to enhance the heuristic of the increment hypothesis updating (IHU) algorithm. This approach estimates the likelihood of each fault in the faults set and removes these faults with less likelihood. By this approach we also can determine whether an event is spurious or not. Simulation shows that this approach can get a high accuracy and fast speed of correlation even if the network has a high event loss and spuriousness.