Psychological Dimensions in Trust-Based Models in Cloud Computing

Abstract

Cloud computing has been rapidly evolving and various organizations are updating their infrastructure and services to the cloud computing system. However, being a relatively new technology, users of cloud computing are facing various issues that need to be addressed. Identifying the risks associated and establishing trust in that is one such major issue that needs to be addressed. This article has focused on the various concepts related to trust in the cloud environment, technicalities of trust being used and evaluated, the trust models with an objective of identifying the inclusion of psychological dimensions and attributes in the assessment, evaluation, and management process. The results from the review have indicated that as such there are no models found which contribute to incorporating the psychological attributes. As an extension of the assessment, an integration of two important aspects are recommended in the existing trust model. The inclusion of psychological attributes that consist of motivation, perception, learning, and personality attributes; and an initial stage of assessment model in a top-down approach scheme for identifying the effectiveness of cloud service providers based on the collaborative trust information-sharing mechanism and by using techniques such as rankings and ratings.