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Assessing the impact of intra-cloud live migration on anomaly detection

Shirazi, N and Simpson, S and Marnerides, A and Watson, M and Mauthe, A and Hutchison, D (2014) Assessing the impact of intra-cloud live migration on anomaly detection. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), 8-10 October 2014, Luxembourg.

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Abstract

Virtualized cloud environments have emerged as a necessity within modern unified ICT infrastructures and have established themselves as a reliable backbone for numerous always-on services. `Live' intra-cloud virtual-machine (VM) migration is a widely used technique for efficient resource management employed within modern cloud infrastructures. Despite the benefits of such functionality, there are still several security issues which have not yet been thoroughly assessed and quantified. We investigate the impact of live virtual-machine migration on state-of-the-art anomaly detection (AD) techniques (namely PCA and K-means), by evaluating live migration under various attack types and intensities. We find that the performance for both detectors degrades as shown by their Receiver Operating Characteristics (ROC) curves when intra-cloud live migration is initiated while VMs are under a netscan (NS) or a denial-of-service (DoS) attack.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: IEEE
Date Deposited: 16 Jan 2015 15:18
Last Modified: 16 Jan 2015 15:18
DOI or Identification number: 10.1109/CloudNet.2014.6968968
URI: http://researchonline.ljmu.ac.uk/id/eprint/321

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