Paper Title:
Research on Distributed Intrusion Detection Model Based on Information Fusion
  Abstract

The research actuality of Intrusion Detection System(IDS) were analyzed, Due to the defects of IDS such as high positive rate of IDS and incapable of effective detection of dispersed coordinated attacks on the time and space, the ideas of the multi-source information fusion were introduced in the paper, a multi-level IDS reasoning framework and prototype system were presented. The prototype adds analysis engine to the existing IDS Sensor, We used Bayesian Network as a tool for multi-source information fusion, and we used goal-tree to analyze the attempts of coordinated attacks and quantify the security risk of system. Compared to the existing IDS, the prototype is more integrated and more capable in finding coordinated attacks with lower false positive rate.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
528-533
DOI
10.4028/www.scientific.net/AMR.121-122.528
Citation
P. Du, W. Xu, "Research on Distributed Intrusion Detection Model Based on Information Fusion", Advanced Materials Research, Vols. 121-122, pp. 528-533, 2010
Online since
June 2010
Authors
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Price
$32.00
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