Remediating Anomalous Traffic Behaviour in Future Networked Environments

  • Angelos K. Marnerides
  • Matthew Jakeman
  • David Hutchison
  • Dimitrios P. Pezaros
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 63)


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.


Future and autonomic networks resilience remediation 


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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Angelos K. Marnerides
    • 1
  • Matthew Jakeman
    • 1
  • David Hutchison
    • 1
  • Dimitrios P. Pezaros
    • 2
  1. 1.Infolab21, Computing DepartmentLancaster UniversityLancasterUK
  2. 2.Department of Computing ScienceUniversity of GlasgowGlasgowUK

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