Marnerides, Angelos K. and Pezaros, Dimitrios P. and Hutchison, David (2010) Autonomic diagnosis of anomalous network traffic. In: 11th IEEE WoWMoM Conference Autonomic and Opportunistic Communications Workshop 2010, 2010-06-142010-06-17.
Network traffic abnormalities pose one of the greatest threats for networked environments. Autonomic communications offer a solution: it should be possible to design network mechanisms that behave adaptively and respond to any anomalous phenomenon that threatens normal network behaviour. In this paper we present the design of an adaptive anomaly detection component that has been built as part of an autonomic network system. We have implemented an entropy estimator to predict the onset of anomalous traffic behaviour within an autonomic resilience framework, and a Supervised Naïve Bayesian classifier which synergistically empower the core properties of self-adaptation, self-learning and self-protection for next generation networks. Being part of an always-on, automated measurement and control infrastructure, such mechanism enforces the adaptive system reaction to suboptimal network operation and its subsequent restoration, while requiring minimal static (re)configuration and operator intervention.
|Item Type: ||Conference or Workshop Item (Other)|
|Journal or Publication Title: ||11th IEEE WoWMoM Conference Autonomic and Opportunistic Communications Workshop 2010|
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|Uncontrolled Keywords: ||networkresilience ; anaproject|
|Subjects: ||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments: ||Faculty of Science and Technology > School of Computing & Communications|
|ID Code: ||34654|
|Deposited By: ||Mr Angelos K. Marnerides|
|Deposited On: ||30 Nov 2010 08:54|
|Last Modified: ||17 Jan 2017 01:25|
|Identification Number: |
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