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- Anand, K. (author)
A Rule Based Approach for Attribute Selection and Intrusion Detection in Wireless Sensor Networks
- Article/chapterEnglish2012
Publisher, publication year, extent ...
- Elsevier,2012
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-123045
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123045URI
- https://doi.org/10.1016/j.proeng.2012.06.202DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- QC 20130531
- 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.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Kommunikationssystem hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems hsv//eng
- Intrusion Detection System (IDS)
- Attribute Selection
- Information Gain Ratio (IGR)
Added entries (persons, corporate bodies, meetings, titles ...)
- Ganapathy, S. (author)
- Kulothungan, K. (author)
- Yogesh, P. (author)
- Kannan, AnandKTH,Kommunikationssystem, CoS(Swepub:kth)u101tjf9 (author)
- KTHKommunikationssystem, CoS (creator_code:org_t)
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- In:International Conference On Modelling Optimization And Computing: Elsevier, s. 1658-1664
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