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Towards a Trust Prediction Framework for Cloud Services Based on PSO-Driven Neural Network
Trustworthiness is an important indicator for service selection and recommendation in the cloud environment. However, predicting the trust rate of a cloud service based on its multifaceted quality of services (QoSs) is not an easy task due to the complicated and non-linear relations between service's QoS values and the final trust rate of the service. According to the existing studies, the adoption of intelligent technique is a rational way to attack this problem. Neural network (NN) has beendoi:10.1109/access.2017.2654378 fatcat:vb2pqlaqqvcpbom3ltwc7uuj2e