ABSTRACT
With the wide deployment of cloud computing, many security
challenges have been arisen such as data and storage integrity and
virtualization security. The crisis of trust caused by these security issues
has become one of the important factors restricting the wide applications of
cloud service. Especially for security-sensitive users, it is challenging to
quickly select a cloud service which has the high level of trust and can meet
both the user preferences and specific functional demands. The study explores
the multi-granularity selection standard of trust level, the users’ preference
calculation model, and the cloud service selection algorithm. Firstly, the
trust evaluation mechanisms among different entities in human society are
fitted and the multi-granularity selection standard of trust levels based on
Gaussian cloud transformation is constructed. Then, the calculation model of
user preferences based on the cloud analytic hierarchy process is developed.
Finally, the trusted cloud service selection algorithm based on two-step fuzzy
comprehensive evaluation is proposed and experimentally validated.
Conclusion
Cloud service selection belongs to the typical
multi-attribute decision-making problems. In the selection process of cloud
services, it is necessary to select trusted cloud services according to users’
different demands. In this paper, the algorithm of multi-granularity standard
trust cloud is proposed as the basis of judging the trust level of cloud
services and the novel cloud service selection algorithm based on normal cloud
model is given. Finally the feasibility of the algorithm is verified. The study
provides a new way to solve the crisis of trust in the selection process of
cloud services and is conducive to the promotion of cloud services. Any
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[3] Fang W, Wen X, Xu J, and Zhu J. "CSDA: a
novel cluster-based secure data aggregation scheme for WSNs." Cluster
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