Towards a Distributed, Self-organising Approach to Malware Detection in Cloud Computing

  • Michael R. Watson
  • Noor-ul-Hassan Shirazi
  • Angelos K. Marnerides
  • Andreas Mauthe
  • David Hutchison
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8221)

Abstract

Cloud computing is an increasingly popular platform for both industry and consumers. The cloud presents a number of unique security issues, such as a high level of distribution and system homogeneity, which require special consideration. In this paper we introduce a resilience architecture consisting of a collection of self-organising resilience managers distributed within the infrastructure of a cloud. More specifically we illustrate the applicability of our proposed architecture under the scenario of malware detection. We describe our multi-layered solution at the hypervisor level of the cloud nodes and consider how malware detection can be distributed to each node.

Keywords

Dispatch 

References

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    Marnerides, A., Pezaros, D., Hutchison, D.: Autonomic diagnosis of Anomalous network traffic. In: Proceedings of IEEE WoWMoM 2010 (2010)Google Scholar
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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Michael R. Watson
    • 1
  • Noor-ul-Hassan Shirazi
    • 1
  • Angelos K. Marnerides
    • 1
  • Andreas Mauthe
    • 1
  • David Hutchison
    • 1
  1. 1.School of Computing and CommunicationsLancaster UniversityLancasterUK

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