Abstract
Virtualization provides many benefits for Cloud environments, as it helps users obtain dedicated environments abstracted from the physical layer. However, it also introduces new vulnerabilities to the Cloud such as making it possible for malicious VMs to mount cross-VM attacks through cache based side channels. In this paper, we investigate load-based measurement attacks born specifically as a result of the virtualization in Cloud systems. We develop a framework to identify these attacks based on the observation that the events taking place during the attacks lead to an identifiable sequence of exceptions. We test the accuracy of our framework using the Microsoft Azure infrastructure.
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Sundareswaran, S., Squcciarini, A.C. (2013). Detecting Malicious Co-resident Virtual Machines Indulging in Load-Based Attacks. In: Qing, S., Zhou, J., Liu, D. (eds) Information and Communications Security. ICICS 2013. Lecture Notes in Computer Science, vol 8233. Springer, Cham. https://doi.org/10.1007/978-3-319-02726-5_9
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DOI: https://doi.org/10.1007/978-3-319-02726-5_9
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