A Multi-Dimensional and Multi-Factor Trust Computation Framework for Cloud Services

In this paper, we propose a novel trust computation framework (TCF) for cloud services. Trust is computed by taking into consideration multi-dimensional quality of service (QoS) evidence and user feedback. Feedback provides ample regarding the experience (QoE) users. However, in some cases, users may behave maliciously report false Users can carry out collusion Sybil attacks to slander/self-promote such cases could be misleading inaccurate. Evaluating credibility feedback help not only preventing but also remunerating affected Despite advantages evaluation, very few studies take evaluation criteria. Considering limitations existing studies, new TCF which aggregating from QoS QoE. We have used attributes compute objective The are divided three dimensions, i.e., node profile, average resource consumption, performance. profile attributed CPU frequency, memory size, hard disk capacity. consumption quantified based on current utilisation rate, energy consumption. Moreover, performance measured response time task success ratio. Besides that, evaluated prevent malicious behaviour Our results demonstrate effectiveness our proposed computing accurate