Skip navigation

An autonomic approach to denial of service defence

An autonomic approach to denial of service defence

Gelenbe, E., Gellman, M. ORCID: 0000-0003-3559-5182 and Loukas, G. ORCID: 0000-0003-3559-5182 (2005) An autonomic approach to denial of service defence. In: International Symposium on a World of Wireless, Mobile and Multimedia Networks. IEEE, Piscataway, NJ, US. ISBN 0769523420 (doi:https://doi.org/10.1109/WOWMOM.2005.24)

[img]
Preview
PDF (Author's Accepted Manuscript)
15028_Loukas_An autonomic approach to denial (AAM) 2005.pdf - Accepted Version

Download (880kB) | Preview

Abstract

Denial of service attacks, viruses and worms are com- mon tools for malicious adversarial behaviour in networks. In this paper we propose the use of our autonomic routing protocol, the Cognitive Packet Network (CPN), as a means to defend nodes from Distributed Denial of Service Attacks (DDoS), where one or more attackers generate flooding traffic from multiple sources towards selected nodes or IP addresses. We use both analytical and simulation mod- elling, and experiments on our CPN testbed, to evaluate the advantages and disadvantages of our approach in the pres- ence of imperfect detection of DDoS attacks, and of false alarms.

Item Type: Conference Proceedings
Title of Proceedings: International Symposium on a World of Wireless, Mobile and Multimedia Networks
Additional Information: © 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, 13-16 June 2005, Taormina - Giardini Naxos, Italy
Uncontrolled Keywords: denial of service, network security
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 26 Nov 2020 22:35
URI: http://gala.gre.ac.uk/id/eprint/15028

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics