Projects per year
Abstract
Cloud computing is a rapidly developing computing paradigm. It enables dynamic on-demand resource distribution computing in a cost-effective manner. However, it introduces compelling concerns related to privacy and security of the data. As many of these have been extensively studied and are monitored effectively, this paper proposes a novel solution relying on detecting anomalies in system calls behavior of the system. We use Dempster-Shafer theory of evidence for learning the normality and show how to parametrize this in the method presented. The method is scalable to any set of system calls. Finally, we propose further challenges on this track.
Original language | Undefined/Unknown |
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Title of host publication | CLOUD COMPUTING 2017 The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization |
Editors | Westphall Carlos Becker, Lee Yong Woo, Duncan Bob, Olmsted Aspen, Vassilakopoulos Michael, Lambrinoudakis Costas, Katsikas Sokratis K., Ege Raimund |
Publisher | Iaria xps press |
Pages | 44–48 |
ISBN (Print) | 978-1-61208-529-6 |
Publication status | Published - 2017 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Cloud Computing, GRIDs, and Virtualization - Eighth International Conference on Cloud Computing, GRIDs, and Virtualization Duration: 19 Feb 2017 → 23 Feb 2017 |
Conference
Conference | International Conference on Cloud Computing, GRIDs, and Virtualization |
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Period | 19/02/17 → 23/02/17 |
Keywords
- Cloud computing
- Information Security
- Kernel methods
Projects
- 1 Finished
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ADVICeS: Adaptive Integrated Formal Design of Safety-Critical Systems (Academy of Finland)
Walden, M. (Principal Investigator), Olszewska, M. (Co-Investigator), Edmunds, A. (Co-Investigator), Ostroumov, S. (Co-Investigator), Petre, L. (Co-Investigator), Boström, P. (Co-Investigator) & Neovius, M. (Co-Investigator)
01/09/13 → 31/08/17
Project: Research Council of Finland/Other Research Councils