Towards a Distributed, Self-organising Approach to Malware Detection in Cloud Computing - LNCS 8221: Self-Organizing Systems Access content directly
Conference Papers Year : 2014

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

Michael R. Watson
  • Function : Author
  • PersonId : 980013
Noor-Ul-Hassan Shirazi
  • Function : Author
  • PersonId : 980014
Angelos K. Marnerides
  • Function : Author
  • PersonId : 980015
Andreas Mauthe
  • Function : Author
  • PersonId : 980016
David Hutchison
  • Function : Author
  • PersonId : 980017

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.
Fichier principal
Vignette du fichier
978-3-642-54140-7_19_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01291519 , version 1 (21-03-2016)

Licence

Attribution

Identifiers

Cite

Michael R. Watson, Noor-Ul-Hassan Shirazi, Angelos K. Marnerides, Andreas Mauthe, David Hutchison. Towards a Distributed, Self-organising Approach to Malware Detection in Cloud Computing. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. pp.182-185, ⟨10.1007/978-3-642-54140-7_19⟩. ⟨hal-01291519⟩
86 View
140 Download

Altmetric

Share

Gmail Facebook X LinkedIn More