A trust-based evaluation model for data privacy protection in cloud computing Online publication date: Tue, 30-Jul-2019
by Yubiao Wang; Junhao Wen; Wei Zhou
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 14, No. 2, 2019
Abstract: For high quality and privacy protection problem, this paper proposes a trust-based evaluation model for data privacy protection in cloud computing (TEM-DPP). In order to make the final trust evaluation values more practical, the model introduces the comprehensive trust evaluation. The comprehensive trust is composed of direct trust and recommend trust. Services attribute and combining weights-based methods are used to calculate the direct trust, reflecting the direct trust timeliness and rationality. In order to protect data security, we propose a data protection method based on normal cloud model for data privacy protection. Then, the customer satisfaction, decay time, transaction amount and penalty factor will be used to update the direct trust. Simulation results are showed that cloud services trust evaluation model can not only adapt to the dynamic changes in the environment, but also ensure the actual quality of service. It can improve the service requesters' satisfaction and has certain resilience to fraud entities.
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