Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Analysing virtual machine security in cloud systems

Al Said, Taimur and Rana, Omer Farooq 2015. Analysing virtual machine security in cloud systems. Presented at: ICC 2014: International Conference on Intelligent Cloud Computing, Muscat, Oman, 24-26 February 2014. Published in: Al-Saidi, Asma, Fleischer, Rudolf, Maamar, Zakaria and Rana, Omer F. eds. Intelligent Cloud Computing: First International Conference, ICC 2014, Muscat, Oman, February 24-26, 2014, Revised Selected Papers. Lecture Notes in Computer Science Springer, pp. 137-151. 10.1007/978-3-319-19848-4_9

Full text not available from this repository.

Abstract

The cloud computing concept has significantly influenced how information is delivered and managed in large scale distributed systems today. Cloud computing is currently expected to reduce the economic cost of using computational and data resources, and is therefore particularly appealing to small and medium scale companies (who may not wish to maintain in-house IT departments). To provide economies of scale, providers of Cloud computing infrastructure make significant use of virtualisation techniques – in which processes of various tenants sharing the same physical resources are separated logically using a hypervisor. In spite of its wide adoption in Cloud computing systems, virtualisation technology suffers from many security and privacy issues. We outline security challenges that remain in the use of virtualisation techniques to support multiple customers on the same shared infrastructure. We also illustrate, using an experiment, how data leakage occurs when multiple VMs are executed on the same physical infrastructure, leading to unauthorised access to (previously) deleted data.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: Springer
ISBN: 9783319198477
ISSN: 0302-9743
Funders: EPSRC
Last Modified: 21 Nov 2018 21:27
URI: http://orca.cf.ac.uk/id/eprint/78656

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item