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TVGuarder: A Trace-Enable Virtualization Protection Framework Against Insider Threats for IaaS Environments
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Author(s): Li Lin (Beijing University of Technology, China), Shuang Li (Beijing University of Technology, China), Bo Li (Beihang University, China), Jing Zhan (Beijing University of Technology, China)and Yong Zhao (Beijing University of Technology, China)
Copyright: 2018
Pages: 21
Source title:
Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5634-3.ch034
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Abstract
Cloud computing has a most vulnerable security concerns as virtualization. This paper presents a Trace-enable Virtualization protection framework named TVGuarder, which protects IaaS user's important data from being illegally accessed or maliciously damaged by insider attacks. A threat model is established to characterize cloud-oriented insider attacks and countermeasures are proposed in TVGuarder. First, LSM hooks in host OS kernel are leveraged to enforce that VM images could only be accessed by host virtualization service. Second, a trusted loading mechanism is proposed to prevent tampered or disguised virtualization process from being executed in Host OS. Third, a log-based back tracing mechanism is designed to record full call trace of VM operations and guarantee that only legitimate VM operations are allowed. TVGuarder has been implemented in Openstack platform and several comprehensive experiments are conducted. Experimental results show that TVGuarder can identify several important insider attacks and protect virtual machine images with only a small performance degradation.
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