NDLI: An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection

Content Provider	IEEE Xplore Digital Library
Author	Yingying Zhu Mao Ye Naiqi Liu Xin Zhao Xue Li
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu (Yingying Zhu; Mao Ye; Naiqi Liu; Xin Zhao) \|\| Sch. of Inf. Technol. & Electron. Eng., Univ. of Queensland, Brisbane, QLD (Xue Li)
Abstract	The problem of network intrusion detection is an active research issue. Based on the techniques of sequence data mining, we propose a completely new approach based on intrinsic subsequence to detect intrusions in the network connection data. An intrinsic subsequence means that all items in it are always present together as a whole in the sequence. The total number of an intrinsic subsequence appeared in a sequence is referred to as absolute support. The intrinsic subsequences with approximate absolute support form a layer. A sequence is supposed to be composed of a set of intrinsic subsequences. And the anomalies are always shown as a composition of some unusual intrinsic subsequences. The abnormal sequence can be detected by decomposing the sequence into a number of layers and finding the differences of the corresponding layers between the normal and suspect sequence data. An original algorithm for intrusion detection by using the idea of decomposition is proposed. The experiments on the data sets of KDD 99 illuminate the utility and efficiency of our new approach.
Starting Page	240
Ending Page	244
File Size	300730
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion Detection Protocols Intrinsic Subsequence Decomposition Sequence Data mining Information technology Computer science Support vector machines Intrusion detection Clustering algorithms Computer networks Australia IP networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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