Remediating anomalous traffic behaviour in autonomic networked environments

Marnerides, A., Pezaros, D. , Jakeman, M. and Hutchison, D. (2010) Remediating anomalous traffic behaviour in autonomic networked environments. In: International Workshop on Autonomic Networking and Self-Management in the Access Networks, 5th International Conference on Access Networks (ICST ACCESSNETS), Budapest, Hungary, 3-5 November 2010,

Abstract

The diverse characteristics of network anomalies, and the specific recovery approaches that can subsequently be employed to remediate their effects, have generally led to defence mechanisms tuned to respond to specific abnormalities; and they are often suboptimal for providing an overall resilience framework. Emerging future network environments are likely to require always-on, adaptive, and generic mechanisms that can integrate with the core networking infrastructure and provide for a range of self-* capabilities, ranging from self-protection to self-tuning. In this paper we present the design and implementation of an adaptive remediation component built on top of an autonomic network node architecture. A set of pluggable modules that employ diverse algorithms, together with explicit cross-layer interaction, has been engineered to mitigate different classes of anomalous traffic behaviour in response to both legitimate and malicious external stimuli. In collaboration with an always-on measurement-based anomaly detection component, our prototype facilitates the properties of self-optimisation and self-healing.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pezaros, Professor Dimitrios
• Authors: Marnerides, A., Pezaros, D., Jakeman, M., and Hutchison, D.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Research Group: Embedded, Networked and Distributed Systems (ENDS)

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