XU Ying-mei. Study on network intrusion detection based on Web data streams technology[J]. Journal of Light Industry, 2012, 27(3): 11-14. doi: 10.3969/j.issn.1004-1478.2012.03.003
Citation:
XU Ying-mei. Study on network intrusion detection based on Web data streams technology[J]. Journal of Light Industry, 2012, 27(3): 11-14.
doi:
10.3969/j.issn.1004-1478.2012.03.003
Study on network intrusion detection based on Web data streams technology
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Received Date:
2011-12-15
Available Online:
2012-05-15
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Abstract
Aiming at the problem that intrusion detection model constructed by mining technique with multiscanning to databases has not met the needs of high-speed and unlimited for Web data streams.Based on the characteristic of multi-dimension frequent patterns,a new intrusion detection model and data structure called SW.Tree was proposed,and a new algorithm AFP mining frequent patterns from data streams based on sliding window tree was designed.The different flow experiments data showed that the model had high alarm rate and low false alarm rate.
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