Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big data. In this paper, we propose a...
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| Published in | IEEE transactions on computers Vol. 65; no. 10; pp. 2986 - 2998 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9340 1557-9956 2326-3814 1557-9956 |
| DOI | 10.1109/TC.2016.2519914 |
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| Abstract | Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big data. In this paper, we propose a mutual information based algorithm that analytically selects the optimal feature for classification. This mutual information based feature selection algorithm can handle linearly and nonlinearly dependent data features. Its effectiveness is evaluated in the cases of network intrusion detection. An Intrusion Detection System (IDS), named Least Square Support Vector Machine based IDS (LSSVM-IDS), is built using the features selected by our proposed feature selection algorithm. The performance of LSSVM-IDS is evaluated using three intrusion detection evaluation datasets, namely KDD Cup 99, NSL-KDD and Kyoto 2006+ dataset. The evaluation results show that our feature selection algorithm contributes more critical features for LSSVM-IDS to achieve better accuracy and lower computational cost compared with the state-of-the-art methods. |
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| AbstractList | Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big data. In this paper, we propose a mutual information based algorithm that analytically selects the optimal feature for classification. This mutual information based feature selection algorithm can handle linearly and nonlinearly dependent data features. Its effectiveness is evaluated in the cases of network intrusion detection. An Intrusion Detection System (IDS), named Least Square Support Vector Machine based IDS (LSSVM-IDS), is built using the features selected by our proposed feature selection algorithm. The performance of LSSVM-IDS is evaluated using three intrusion detection evaluation datasets, namely KDD Cup 99, NSL-KDD and Kyoto 2006+ dataset. The evaluation results show that our feature selection algorithm contributes more critical features for LSSVM-IDS to achieve better accuracy and lower computational cost compared with the state-of-the-art methods. |
| Author | Ambusaidi, Mohammed A. Nanda, Priyadarsi Zhiyuan Tan Xiangjian He |
| Author_xml | – sequence: 1 givenname: Mohammed A. surname: Ambusaidi fullname: Ambusaidi, Mohammed A. email: Mohammed.A.AmbuSaidi@studentuts.edu.au organization: Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia – sequence: 2 surname: Xiangjian He fullname: Xiangjian He email: Xiangjian.He@uts.edu.au organization: Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia – sequence: 3 givenname: Priyadarsi surname: Nanda fullname: Nanda, Priyadarsi email: Priyadarsi.Nanda@uts.edu.au organization: Sch. of Comput. & Commun., Univ. of Technol., Sydney, NSW, Australia – sequence: 4 surname: Zhiyuan Tan fullname: Zhiyuan Tan email: Z.Tan@utwente.nl organization: Cybersecurity & Safety Group, Univ. of Twente, Enschede, Netherlands |
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| Cites_doi | 10.1007/978-3-642-20505-7_26 10.1016/j.jnca.2004.01.003 10.1016/j.eswa.2009.05.029 10.1007/978-3-642-27189-2_21 10.1109/CISDA.2009.5356528 10.1007/978-3-642-40597-6_21 10.1145/1978672.1978676 10.1016/j.jnca.2011.01.002 10.1103/PhysRevE.69.066138 10.1007/1-84628-284-5_11 10.1137/1.9781611972719.29 10.1145/846183.846200 10.1109/DISCEX.2000.821515 10.1016/j.eswa.2010.06.066 10.1109/CIMCA.2006.148 10.1016/j.asoc.2007.10.012 10.1145/846183.846201 10.1016/j.comcom.2007.05.002 10.1016/j.dss.2012.08.014 10.1109/72.298224 10.1109/TNN.2004.841414 10.1016/j.cose.2004.09.008 10.1007/978-3-642-32129-0_34 10.1109/Trustcom.2015.387 10.1016/j.eswa.2007.08.088 10.1016/j.neucom.2006.01.022 10.1109/TC.2012.105 10.1103/PhysRevE.52.2318 10.1016/j.chemolab.2005.06.010 10.1023/A:1018628609742 10.1109/TSMCB.2011.2168604 10.1109/TrustCom.2014.15 10.1109/TPAMI.2005.159 10.1109/TNN.2008.2005601 10.1007/978-1-4614-6154-8_49 10.1016/j.cose.2014.06.006 10.1007/978-3-642-40846-5_11 10.1016/j.patcog.2006.12.009 10.1007/978-3-540-45235-5_73 10.1016/S0167-2789(98)00269-3 10.1109/TC.2014.2375218 10.1016/j.eswa.2013.08.066 10.1016/j.protcy.2012.05.017 10.1109/72.977291 10.1016/j.eij.2014.01.001 10.1016/j.jnca.2005.06.001 |
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| SubjectTerms | Algorithms Classification Correlation Drafting Feature extraction feature selection Intrusion detection Intrusion detection systems least square support vector machine linear correlation coefficient Mutual information Random variables Support vector machines |
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| Title | Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm |
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