DocumentCode :
483278
Title :
Intelligent Content Filtering Model for Network Security Audit System
Author :
Zhang, Junliang ; Fang, Dingyi ; Li Liu
Author_Institution :
Coll. of Inf. Sci. & Technol., Northwest Univ., Xian
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
546
Lastpage :
548
Abstract :
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.
Keywords :
auditing; computer networks; information filtering; security of data; algorithm complexity; filter method; information deficiency; intelligent content filtering model; network security audit system; Data security; Eigenvalues and eigenfunctions; IP networks; Information filtering; Information filters; Information security; Intelligent networks; Monitoring; Power system security; Space technology; intelligent filter; network security; security audit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.26
Filename :
4771995
Link To Document :
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