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dc.contributor.authorParvin, S.
dc.contributor.authorSohrab, A.
dc.contributor.authorSingh, Jaipal
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorHan, Song
dc.contributor.editorAdriano Carvalho and Carlos Couto
dc.date.accessioned2017-01-30T12:42:33Z
dc.date.available2017-01-30T12:42:33Z
dc.date.created2010-02-21T20:02:45Z
dc.date.issued2009
dc.identifier.citationParvin, Sazia and Sohrab, Ali and Singh, Jaipal and Hussain, Farookh Khadeer and Han, Song. 2009. Towards DoS attack prevention based on clustering architecture in mobile IP communication, in Adriano Carvalho and Carlos Couto (ed), 35th Annual Conference of IEEE Industrial Electronics (IECON), Nov 3 2009, pp. 3183-3188. Porto, Portugal: IEEE Industrial Electronics Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24369
dc.identifier.doi10.1109/IECON.2009.5415302
dc.description.abstract

Mobile IP communication, like wired communication and mobile ad hoc networking, is vulnerable to Denial-of-Service (DoS) attacks. In this paper, we propose using a lightweight packet filtering technique in different domains and base stations to reduce/eliminate the threat of DoS attacks on mobile IP networks. The proposed technique will be able to detect and filter out any suspected packets containing spoofed IP address created by DoS attackers. The results of our experiments indicate that our proposed technique can significantly reduce the effect of DoS attacks and improves performance of mobile IP communication.

dc.publisherIEEE Industrial Electronics Society
dc.titleTowards DoS attack prevention based on clustering architecture in mobile IP communication
dc.typeConference Paper
dcterms.source.startPage3183
dcterms.source.endPage3188
dcterms.source.titleProceedings of the 35th annual conference of IEEE industrial electronics (IECON)
dcterms.source.seriesProceedings of the 35th annual conference of IEEE industrial electronics (IECON)
dcterms.source.isbn9781424446483
dcterms.source.conference35th Annual Conference of IEEE Industrial Electronics (IECON)
dcterms.source.conference-start-dateNov 3 2009
dcterms.source.conferencelocationPorto, Portugal
dcterms.source.placeUSA
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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