Network security data mining based on wavelet decomposition

Author

Meng, Ming

Author_Institution

Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding

fYear

2008

fDate

25-27 June 2008

Firstpage

6646

Lastpage

6649

Abstract

The network log file database is important to security management. But, with the development of Internet, it has become too bulkiness to be used directly. In this paper, the wavelet decomposition is adopted to mining the useful rules from the network security data. This is different from traditional data mining methods of association rules. Multi-resolution analysis of wavelet transform method is used to analyze and mine the data of network security log file database on different time scale. The period law of the attack number in different time domain is found by this method. These are important messages for taking relevant measures to insure network security.

Keywords

Internet; computer network management; data mining; database management systems; discrete wavelet transforms; security of data; telecommunication security; Internet; association rule; discrete wavelet transform method; multiresolution analysis; network security data mining; network security log file database; security management; wavelet decomposition; Clustering algorithms; Data analysis; Data mining; Data security; Databases; Discrete wavelet transforms; Fourier transforms; Frequency; Information security; Wavelet analysis; Data mining; Discrete wavelet transform; Network log file database; security management;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593932

Filename

4593932