Detecting network events via T-entropy

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dc.contributor.author Speidel, Ulrich en
dc.contributor.author Eimann, Raimund en
dc.contributor.author Brownlee, John en
dc.coverage.spatial Singapore en
dc.date.accessioned 2012-04-04T21:33:48Z en
dc.date.issued 2007 en
dc.identifier.citation 6th International Conference on Information, Communications and Signal Processing, Singapore, SINGAPORE, 10 Dec 2007 - 13 Dec 2007. en
dc.identifier.isbn 978-1-4244-0983-9 en
dc.identifier.uri http://hdl.handle.net/2292/16779 en
dc.description.abstract The detection of significant events in heterogeneous networks, such as DDoS attacks, presents a challenge, both because of the diversity and unpredictable nature of events, and because the “normal” background traffic often varies quite naturally. Conventional approaches for detection of such events usually involve either monitoring for specific event signatures, or a statistical approach, which usually requires monitoring a large number of statistical features. In recent years, several papers have proposed the use of entropy- and complexity-based measures as a viable alternative. The present paper argues that T-entropy is a suitable measure in this sense and provides some experimental evidence in support. en
dc.publisher IEEE en
dc.relation.ispartof 6th International Conference on Information, Communications & Signal Processing, ICICS2007 en
dc.relation.ispartofseries 6th International Conference on Information, Communications & Signal Processing, ICICS2007 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Detecting network events via T-entropy en
dc.type Conference Item en
dc.identifier.doi 10.1109/ICICS.2007.4449642 en
pubs.begin-page 1 en
dc.rights.holder Copyright: IEEE en
pubs.author-url http://ieeexplore.ieee.org/xpl/tocresult.jsp?sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A4449533%29&searchWithin=Detecting%20network%20events%20via%20T-entropy&pageNumber=1&resultAction=REFINE en
pubs.end-page 5 en
pubs.finish-date 2007-12-13 en
pubs.start-date 2007-12-10 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Conference Paper en
pubs.elements-id 82754 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
pubs.record-created-at-source-date 2010-09-01 en


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