Towards a distributed, self-organising approach to malware detection in cloud computing

Watson, M. R., Shirazi, N.-u.-H., Marnerides, A. K. , Mauthe, A. and Hutchison, D. (2014) Towards a distributed, self-organising approach to malware detection in cloud computing. In: Elmenreich, W., Dressler, F. and Loreto, V. (eds.) Self-Organizing Systems: 7th IFIP TC 6 International Workshop, IWSOS 2013, Palma de Mallorca, Spain, May 9-10, 2013, Revised Selected Papers. Series: Lecture notes in computer science (8221). Springer: Berlin, pp. 182-185. ISBN 9783642541391 (doi: 10.1007/978-3-642-54140-7_19)

Full text not currently available from Enlighten.

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.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Marnerides, Dr Angelos
Authors: Watson, M. R., Shirazi, N.-u.-H., Marnerides, A. K., Mauthe, A., and Hutchison, D.
College/School:College of Science and Engineering > School of Computing Science
Publisher:Springer
ISBN:9783642541391

University Staff: Request a correction | Enlighten Editors: Update this record