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An Automatic intrusion Diagnosis Approach for Clouds

International Journal of Automation and computing 2011年第3期8卷 286-296页

作者： Junaid Arshad Paul Townend School of Computing University of Leeds

Virtual machines have attracted significant attention especially within the high performance computing community. How- ever, there remain problems with respect to security in general and intrusion detection and diagnosis in particular which underpin the realization of the potential offered by this emerging technology. In this paper, one such problem has been highlighted, i.e., intrusion severity analysis for large-scMe virtual machine based systems, such as clouds. Furthermore, the paper proposes a solution to this prob- lem for the first time for clouds. The proposed solution achieves virtual machine specific intrusion severity analysis while preserving isolation between the security module and the monitored virtual machine. Furthermore, an automated approach is adopted to signif- icantly reduce the overall intrusion response time. The paper includes a detailed description of the solution and an evaluation of our approach with the objective to determine the effectiveness and potential of this approach. The evaluation includes both architectural and experimentM evaluation thereby enabling us to strengthen our approach at an architectural level as well. Finally, open problems and challenges that need to be addressed in order to make further improvements to the proposed approach have been highlighted.

关键词： intrusion severity virtualization cloud computing intrusion diagnosis intrusion tolerance.

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