• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

DTSTM: Dynamic Tree Style Trust Measurement Model for Cloud Computing

Vol. 8, No. 1, January 28, 2014
10.3837/tiis.2014.01.018, Download Paper (Free):

Abstract

In cloud computing infrastructure, current virtual machine trust measurement methods have many shortcomings in dynamism, security and concurrency. In this paper, we present a new method to measure the trust of virtual machine. Firstly, we propose “behavior trace” to describe the state of virtual machine. Behavior trace is a sequence of behaviors. The measurement of behavior trace is conducted on the basis of anticipated trusted behavior, which not only ensures security of the virtual machine during runtime stage but also reduces complexity of the trust measurement. Based on the behavior trace, we present a Dynamic Tree Style Trust Measurement Model (DTSTM). In this model, the measurement of system domain and user domain is separated, which enhances the extensibility, security and concurrency of the measurement. Finally, based on System Call Interceptor (SCI) and Virtual Machine Introspection (VMI) technology, we implement a DTSTM prototype system for virtual machine trust measurement. Experimental results demonstrate that the system can effectively verify the trust of virtual machine and requires a relatively low performance overhead.


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Cite this article

[IEEE Style]
Z. Zhou, L. Wu, Z. Hong, M. Xu, F. Pan, "DTSTM: Dynamic Tree Style Trust Measurement Model for Cloud Computing," KSII Transactions on Internet and Information Systems, vol. 8, no. 1, pp. 305-325, 2014. DOI: 10.3837/tiis.2014.01.018.

[ACM Style]
Zhen-ji Zhou, Li-fa Wu, Zheng Hong, Ming-fei Xu, and Fan Pan. 2014. DTSTM: Dynamic Tree Style Trust Measurement Model for Cloud Computing. KSII Transactions on Internet and Information Systems, 8, 1, (2014), 305-325. DOI: 10.3837/tiis.2014.01.018.

[BibTeX Style]
@article{tiis:20443, title="DTSTM: Dynamic Tree Style Trust Measurement Model for Cloud Computing", author="Zhen-ji Zhou and Li-fa Wu and Zheng Hong and Ming-fei Xu and Fan Pan and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2014.01.018}, volume={8}, number={1}, year="2014", month={January}, pages={305-325}}