A Rule Based Approach for Attribute Selection and Intrusion Detection in Wireless Sensor Networks
2012 (English)In: International Conference On Modelling Optimization And Computing, Elsevier, 2012, 1658-1664 p.Conference paper (Refereed)
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.
, Procedia Engineering, ISSN 1877-7058 ; 38
Intrusion Detection System (IDS), Attribute Selection, Information Gain Ratio (IGR)
IdentifiersURN: urn:nbn:se:kth:diva-123045DOI: 10.1016/j.proeng.2012.06.202ISI: 000315044701079ScopusID: 2-s2.0-84901007038OAI: oai:DiVA.org:kth-123045DiVA: diva2:624352
International Conference on Modelling Optimisation and Computing (ICMOC), APR 10-11, 2012, Kumarakoil, India
QC 201305312013-05-312013-05-312013-05-31Bibliographically approved