Generating attack pattern automatically based on decision classification tree in storage-based IDS

Jing Feng Xue*, Jian Li, Yuan Da Cao, Gang Shu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

To obtain reusable attack pattern for storage-based intrusion detection system, the theory of attack model was applied to build attack model, the attack tree model was extended and the algorithm of decision classification tree was proposed. The algorithm was applied in storage-based intrusion detection system to describe attack efficiency and attack pattern could be generated automatically. In the experiment, four kinds of type attack data and normal data in storage operation flow were collected and corresponding attack pattern were generated. In the training dataset, The detection rate can reach 95.72% and the false alarm rate is only 24.25%. The experimental results show that efficient attack pattern for storage-based intrusion detection can be generated automatically by the algorithm.

源语言英语
页(从-至)51-55
页数5
期刊Tongxin Xuebao/Journal on Communications
29
SUPPL.
出版状态已出版 - 11月 2008

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Xue, J. F., Li, J., Cao, Y. D., & Shu, G. (2008). Generating attack pattern automatically based on decision classification tree in storage-based IDS. Tongxin Xuebao/Journal on Communications, 29(SUPPL.), 51-55.