Detecting malicious co-resident virtual machines indulging in load-based attacks

Smitha Sundareswaran, Anna C. Squcciarini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationInformation and Communications Security - 15th International Conference, ICICS 2013, Proceedings
Pages113-124
Number of pages12
DOIs
StatePublished - 2013
Event15th International Conference on Information and Communications Security, ICICS 2013 - Beijing, China
Duration: Nov 20 2013Nov 22 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8233 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Information and Communications Security, ICICS 2013
Country/TerritoryChina
CityBeijing
Period11/20/1311/22/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Detecting malicious co-resident virtual machines indulging in load-based attacks'. Together they form a unique fingerprint.

Cite this