Home > Research > Publications & Outputs > Assessing the impact of intra-cloud live migrat...


Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Publication date10/2014
Host publicationProceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014
Number of pages6
ISBN (print)9781479927302
<mark>Original language</mark>English


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.