Network security data mining based on wavelet decomposition

  • Ming Meng
  • Published 2008 in
    2008 7th World Congress on Intelligent Control…

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.

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Cite this paper

@article{Meng2008NetworkSD, title={Network security data mining based on wavelet decomposition}, author={Ming Meng}, journal={2008 7th World Congress on Intelligent Control and Automation}, year={2008}, pages={6646-6649} }