Study on Network Security Audit System Based on Agent Technology and Log Mining

Zhi Ming Wang; Min Xia Liu; Hui Hu; Wu Xue Jiang

doi:10.4028/www.scientific.net/AMR.798-799.534

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Study on Network Security Audit System Based on...

Study on Network Security Audit System Based on Agent Technology and Log Mining

Abstract:

Aiming to increase network security auditing efficiency, an audit system with good efficiency has been generated through Agent and log mining technology. This paper improves the traditional association rule mining algorithm Apriori and designs a new data structure in which each brother node is in a parallel alignment, each child node has a pointer directing to their children node and sibling node, the audit system can only scan the database once. Experiments show that compared with traditional Apriori, the improved algorithm has greatly reduced the I/O expenditure of the system, having obvious superiority.

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Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

534-537

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.534

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Online since:

September 2013

Authors:

Zhi Ming Wang, Min Xia Liu, Hui Hu, Wu Xue Jiang

Keywords:

Agent Technology, Apriori Algorithm, Association Rule Mining, Network Security Audit

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