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dc.contributor.authorRajasegarar, S
dc.contributor.authorBezdek, JC
dc.contributor.authorLeckie, C
dc.contributor.authorPalaniswami, M
dc.date.available2014-05-22T01:18:03Z
dc.date.issued2009-12-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000273321500007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifierARTN 7
dc.identifier.citationRajasegarar, S., Bezdek, J. C., Leckie, C. & Palaniswami, M. (2009). Elliptical Anomalies in Wireless Sensor Networks. ACM TRANSACTIONS ON SENSOR NETWORKS, 6 (1), https://doi.org/10.1145/1653760.1653767.
dc.identifier.issn1550-4859
dc.identifier.urihttp://hdl.handle.net/11343/30567
dc.description.abstract<jats:p>Anomalies in wireless sensor networks can occur due to malicious attacks, faulty sensors, changes in the observed external phenomena, or errors in communication. Defining and detecting these interesting events in energy-constrained situations is an important task in managing these types of networks. A key challenge is how to detect anomalies with few false alarms while preserving the limited energy in the network. In this article, we define different types of anomalies that occur in wireless sensor networks and provide formal models for them. We illustrate the model using statistical parameters on a dataset gathered from a real wireless sensor network deployment at the Intel Berkeley Research Laboratory. Our experiments with a novel distributed anomaly detection algorithm show that it can detect elliptical anomalies with exactly the same accuracy as that of a centralized scheme, while achieving a significant reduction in energy consumption in the network. Finally, we demonstrate that our model compares favorably to four other well-known schemes on four datasets.</jats:p>
dc.languageEnglish
dc.publisherASSOC COMPUTING MACHINERY
dc.subjectDistributed Computing
dc.titleElliptical Anomalies in Wireless Sensor Networks
dc.typeJournal Article
dc.identifier.doi10.1145/1653760.1653767
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentElectrical and Electronic Engineering
melbourne.source.titleACM Transactions on Sensor Networks
melbourne.source.volume6
melbourne.source.issue1
dc.research.codefor0805
dc.description.pagestart1
melbourne.publicationid137329
melbourne.elementsid317992
melbourne.contributor.authorRajasegarar, Sutharshan
melbourne.contributor.authorBezdek, James
melbourne.contributor.authorLeckie, Christopher
melbourne.contributor.authorPalaniswami, Marimuthu
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-24)
dc.identifier.eissn1550-4867
melbourne.accessrightsThis item is currently not available from this repository


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