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

Research

Associated organisational units

Links

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/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Assessing the impact of intra-cloud live migration on anomaly detection. / Shirazi, Syed Noor Ul Hassan; Simpson, Steven; Marnerides, Angelos et al.
Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014. IEEE, 2014. p. 52-57.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Shirazi, SNUH, Simpson, S, Marnerides, A, Watson, M, Mauthe, A & Hutchison, D 2014, Assessing the impact of intra-cloud live migration on anomaly detection. in Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014. IEEE, pp. 52-57. https://doi.org/10.1109/CloudNet.2014.6968968

APA

Shirazi, S. N. U. H., Simpson, S., Marnerides, A., Watson, M., Mauthe, A., & Hutchison, D. (2014). Assessing the impact of intra-cloud live migration on anomaly detection. In Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014 (pp. 52-57). IEEE. https://doi.org/10.1109/CloudNet.2014.6968968

Vancouver

Shirazi SNUH, Simpson S, Marnerides A, Watson M, Mauthe A, Hutchison D. Assessing the impact of intra-cloud live migration on anomaly detection. In Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014. IEEE. 2014. p. 52-57 doi: 10.1109/CloudNet.2014.6968968

Author

Shirazi, Syed Noor Ul Hassan ; Simpson, Steven ; Marnerides, Angelos et al. / Assessing the impact of intra-cloud live migration on anomaly detection. Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014. IEEE, 2014. pp. 52-57

Bibtex

@inproceedings{f3f0ae04eda449aaa361d2a2cc0cc7bc,
title = "Assessing the impact of intra-cloud live migration on anomaly detection",
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.",
author = "Shirazi, {Syed Noor Ul Hassan} and Steven Simpson and Angelos Marnerides and Michael Watson and Andreas Mauthe and David Hutchison",
year = "2014",
month = oct,
doi = "10.1109/CloudNet.2014.6968968",
language = "English",
isbn = "9781479927302",
pages = "52--57",
booktitle = "Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Assessing the impact of intra-cloud live migration on anomaly detection

AU - Shirazi, Syed Noor Ul Hassan

AU - Simpson, Steven

AU - Marnerides, Angelos

AU - Watson, Michael

AU - Mauthe, Andreas

AU - Hutchison, David

PY - 2014/10

Y1 - 2014/10

N2 - 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.

AB - 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.

U2 - 10.1109/CloudNet.2014.6968968

DO - 10.1109/CloudNet.2014.6968968

M3 - Conference contribution/Paper

SN - 9781479927302

SP - 52

EP - 57

BT - Proceedings of 3rd IEEE International Conference on Cloud Networking, IEEE CloudNet 2014

PB - IEEE

ER -