Development of Trustworthiness for Cloud Service Providers Using DBN-Based Trust Model in Cloud Computing Environment

Abstract

In order to facilitate diverse computing resources and services, cloud computing has evolve into a promising paradigm on-demand over the internet. To access services, cloud users have to rely on third-party service providers. Choosing a suitable Cloud Service Provider (CSP) with a raise in available cloud services in order to deliver the service safely is considered a serious concern for users. Regrettably, there are various problems that minimize the growth of cloud computing, like privacy, security loss, and control. The security issue is regarded as the most important element that could avoid the evolution of cloud computing. In the cloud environment, to handle the user’s requests, trust measures play a significant role when choosing appropriate service providers. Therefore, trustworthiness evaluation of CSP prior to choosing it to facilitate the service has become a significant obligation in cloud environment. In this work, a trust model, Deep Behavioral Feedback Quality of Service and Statistics based trust (Deep BFQS-trust), is developed to calculate trustworthiness of CSP based on its feedback and behavior, QoS and statistics-based given by the users. Also, to calculate behavioral trust values, various QoS attributes are considered. In order to maintain and calculate feedback trust value for service provider, diverse parameters from service level agreement are utilized. By computing the collective trust, trustworthiness of cloud service provider is judged that is computed by these trust factors. Moreover, the weights of the collective trust are determined by employing Deep belief network (DBN) model. Finally, the proposed Deep BFQS-trust technique is compared with the existing approaches, and exhibits that the proposed model attained utmost trustworthiness and successful interaction with the values of 0.860 and 0.888, respectively.

Keywords:

• Trust
• cloud computing
• cloud service
• provider
• QoS-based trust

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ajil A

Ajil A is currently working as Assistant Professor in School of CSE, REVA University, Bengaluru. She has 13 years of teaching experience with 1 book ,6 patents and 20 publications in reputed journals and conferences. Areas of interest are Cloud Computing, Network Security and Machine Learning, Block chain Technology.

Saravana Kumar E

Saravana Kumar E is currently working as Professor(CSE), The Oxford College of Engineering, Bengaluru. He has 18 years of teaching experience. He is the author of four books. He has 4 patents and 40 publications in reputed journals and conferences. He has received funded projects from AICTE and VGST.