Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.

Marnerides, Angelos K. and Pezaros, Dimitrios P. and Hutchison, David (2008) Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. In: ACM SIGCOMM CoNEXT Conference Student Workshop 2008, 2008-12-09.

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Abstract

Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.

Item Type: Contribution to Conference (Other)
Journal or Publication Title: ACM SIGCOMM CoNEXT Conference Student Workshop 2008
Uncontrolled Keywords: networkresilience ; anaproject
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 34652
Deposited By: Mr Angelos K. Marnerides
Deposited On: 30 Nov 2010 08:48
Refereed?: Yes
Published?: Published
Last Modified: 10 Jun 2019 19:18
URI: https://eprints.lancs.ac.uk/id/eprint/34652

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