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Detecting Malicious Co-resident Virtual Machines Indulging in Load-Based Attacks

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8233)

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.

Keywords

Cloud Computing System Call Load Variation Cloud System Channel Noise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.College of Information Sciences and TechnologyPennsylvania State UniversityUniversity ParkUSA

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