Behavior and feedback based trust computation in cloud environment

Cloud Computing has become a promising paradigm to deliver different computing resources and ser-vices over the Internet on demand. The cloud users have to rely on the third party service providers for accessing services. With an increase in available cloud services, selecting an appropriate cloud service provider to deliver the service securely will be always challenging for users. The trust measure plays an important role while selecting proper service providers to handle user's requests in the cloud environ-ment. Hence, evaluation of the trustworthiness of the cloud service provider before selecting it to deliver the service has become an important requirement in the cloud environment. The paper presents a method to evaluate the trustworthiness of cloud service provider on the basis of it's behavior and feed-back given by the users. The various Quality of Service attributes are considered for computing behavioral trust values. The different parameters from the service level agreement are used to maintain the feedback and compute the feedback trust value for the service provider. The trustworthiness of the cloud service provider is judged by computing the cumulative trust, which is calculated using behavioral trust and feedback trust. Also, the proposed model includes a mechanism to judge the genuineness of feedback submitted by the users. The proposed method is compared with Evidence Based Trust Model and Enhanced QoS based Model to evaluate the performance in terms of accuracy and efficiency.(c) 2020 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).