Dr Nick Pitropakis N.Pitropakis@napier.ac.uk
Associate Professor
Dr Nick Pitropakis N.Pitropakis@napier.ac.uk
Associate Professor
Dimitra Anastasopoulou
Aggelos Pikrakis
Costas Lambrinoudakis
Computational systems are gradually moving towards Cloud Computing Infrastructures, using the several advantages they have to offer and especially the economic advantages in the era of an economic crisis. In addition to this revolution, several security matters emerged and especially the confrontation of malicious insiders. This paper proposes a methodology for detecting the co-residency and network stressing attacks in the kernel layer of a Kvm-based cloud environment, using an implementation of the Smith-Waterman genetic algorithm. The proposed approach has been explored in a test bed environment, producing results that verify its effectiveness.
Pitropakis, N., Anastasopoulou, D., Pikrakis, A., & Lambrinoudakis, C. (2014). If you want to know about a hunter, study his prey: detection of network based attacks on KVM based cloud environments. Journal of cloud computing: advances, systems and applications, 3(1), https://doi.org/10.1186/s13677-014-0020-6
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 21, 2014 |
Online Publication Date | Dec 5, 2014 |
Publication Date | 2014-12 |
Deposit Date | Sep 21, 2018 |
Publicly Available Date | Sep 28, 2018 |
Journal | Journal of Cloud Computing advances, systems and applications |
Publisher | BMC |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 1 |
DOI | https://doi.org/10.1186/s13677-014-0020-6 |
Keywords | Cloud computing, Security, Co-residency, Network stressing, Malicious insider, KVM, System calls, Smith-waterman |
Public URL | http://researchrepository.napier.ac.uk/Output/1304037 |
Contract Date | Sep 28, 2018 |
If you want to know about a hunter, study his prey...
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Copyright Statement
© Pitropakis et al.; licensee Springer. 2014
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
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