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Intelligent Content Filtering Model for Network Security Audit System

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3 Author(s)
Junliang Zhang ; Coll. of Inf. Sci. & Technol., Northwest Univ., Xian ; Dingyi Fang ; Li LIiu

This paper presents a model of intelligent content filtering model to resolve the current network security audit system in filtering the information deficiency. First of all, in accordance with the characteristics of network security audit system, as well as the advantages and disadvantages of content filtering methods commonly, this paper choose suitable filter method, and then, optimize the filter method on the model used in order to effectively reduce the algorithm complexity, and improve algorithm performance.

Published in:

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Date of Conference:

23-25 Jan. 2009