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A Rule Based Approach for Attribute Selection and Intrusion Detection in Wireless Sensor Networks
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2012 (English)In: International Conference On Modelling Optimization And Computing, Elsevier, 2012, 1658-1664 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a new rule based attribute selection algorithm for removing the redundant attributes which are used in decision making on intrusions in wireless sensor networks. This work focuses mainly on finding important attributes to find Denial of Service attacks. In addition, we used an enhanced MSVM classification algorithm that was developed by extending the existing MSVM algorithm. The experimental results show that the proposed methods provide high detection rates and reduce false alarm rate. This system has been tested using KDD'99 Cup data set.

Place, publisher, year, edition, pages
Elsevier, 2012. 1658-1664 p.
Series
Procedia Engineering, ISSN 1877-7058 ; 38
Keyword [en]
Intrusion Detection System (IDS), Attribute Selection, Information Gain Ratio (IGR)
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-123045DOI: 10.1016/j.proeng.2012.06.202ISI: 000315044701079Scopus ID: 2-s2.0-84901007038OAI: oai:DiVA.org:kth-123045DiVA: diva2:624352
Conference
International Conference on Modelling Optimisation and Computing (ICMOC), APR 10-11, 2012, Kumarakoil, India
Note

QC 20130531

Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2013-05-31Bibliographically approved

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