Marnerides, Angelos and Pezaros, Dimitrios P. and Hutchison, David (2008) Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. In: CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference :. ACM, Madrid, Spain. ISBN 9781605582108
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.