Proactive detection of DDOS attacks in Publish-Subscribe networks

Alzahrani, Bander, Vassilakis, Vassilios, Alreshoodi, Mohammed, Alarfaj, Fawaz and Alhindi, Ahmed (2016) Proactive detection of DDOS attacks in Publish-Subscribe networks. International Journal of Network Security & Its Applications, 8 (4). pp. 1-15. ISSN 0975-2307

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Abstract

Information centric networking (ICN) using architectures such as Publish-Subscribe Internet Routing Paradigm (PSIRP) or Publish-Subscribe Internet Technology (PURSUIT) has been proposed as an important candidate for the Internet of the future. ICN is an emerging research area that proposes a transformation of the current host centric Internet architecture into an architecture where information items are of primary importance. This change allows network functions such as routing and locating to be optimized based on the information items themselves. The Bloom filter based content delivery is a source routing scheme that is used in the PSIRP/PURSUIT architectures. Although this mechanism solves many issues of today’s Internet such as the growth of the routing table and the scalability problems, it is vulnerable to distributed denial-of-service (DDoS) attacks. In this paper, we present a new content delivery scheme that has the advantages of Bloom filter based approach while at the same time being able to prevent DDoS attacks on the forwarding mechanism. Our security analysis suggests that with the proposed approach, the forwarding plane is able to resist attacks such as DDoS with very high probability

Item Type: Article
Additional Information: Published under the Creative Commons Attribution (CC BY) license. The journal allows readers to freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
Keywords: Distributed denial-of-service attack; information centric network; Bloom filter
Subjects: Computing
Depositing User: Vasileios Vasilakis
Date Deposited: 07 Aug 2016 16:37
Last Modified: 04 Nov 2024 12:16
URI: https://repository.uwl.ac.uk/id/eprint/2823

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