Towards DoS attack prevention based on clustering architecture in mobile IP communication
dc.contributor.author | Parvin, S. | |
dc.contributor.author | Sohrab, A. | |
dc.contributor.author | Singh, Jaipal | |
dc.contributor.author | Hussain, Farookh Khadeer | |
dc.contributor.author | Han, Song | |
dc.contributor.editor | Adriano Carvalho | |
dc.contributor.editor | Carlos Couto | |
dc.date.accessioned | 2017-01-30T12:42:33Z | |
dc.date.available | 2017-01-30T12:42:33Z | |
dc.date.created | 2010-02-21T20:02:45Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Parvin, 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.uri | http://hdl.handle.net/20.500.11937/24369 | |
dc.identifier.doi | 10.1109/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.publisher | IEEE Industrial Electronics Society | |
dc.title | Towards DoS attack prevention based on clustering architecture in mobile IP communication | |
dc.type | Conference Paper | |
dcterms.source.startPage | 3183 | |
dcterms.source.endPage | 3188 | |
dcterms.source.title | Proceedings of the 35th annual conference of IEEE industrial electronics (IECON) | |
dcterms.source.series | Proceedings of the 35th annual conference of IEEE industrial electronics (IECON) | |
dcterms.source.isbn | 9781424446483 | |
dcterms.source.conference | 35th Annual Conference of IEEE Industrial Electronics (IECON) | |
dcterms.source.conference-start-date | Nov 3 2009 | |
dcterms.source.conferencelocation | Porto, Portugal | |
dcterms.source.place | USA | |
curtin.note |
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curtin.department | Digital Ecosystems and Business Intelligence Institute (DEBII) | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | The Digital Ecosystems and Business Intelligence Institute (DEBII) |