Cloud service evaluation model based on trust and privacy-aware

In order to select an efficient cloud service, it can be trust and meet the user's privacy protection requirements. This paper proposes a cloud service evaluation model based on trust and privacy-aware. The model introduces the time decay factor to solve the problem that the trust dynamic change over time, taking into account different transaction amount given different weights, it designs the direct trust calculation method based on service attributes and combining weights, reflecting the direct trust timeliness, rationality. In order to protect the privacy of the feedback node, a data protection method based on normal cloud model to data privacy protection, at the same time, the introduction of customer satisfaction, decay time, transaction amount, penalty factor for dynamic trust updates, so the trust value is more accurate. Simulation results show that the cloud service evaluation model can not only adapt to the dynamic changes in the environment, but also to ensure that the actual quality of service, fraud and malicious evaluation of malicious entities have a certain ability to resist. (C) 2017 Elsevier GmbH. All rights reserved.