Privacy Protected Preservation of Electric Vehicles’ Data in Cloud Computing Using Secure Data Access Control

Ahmed Abdu Alattab (), Reyazur Rashid Irshad, Anwar Ali Yahya and Amin A. Al-Awady
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Ahmed Abdu Alattab: Department of Computer Science, College of Science and Arts, Sharurah, Najran University, Najran 61441, Saudi Arabia
Reyazur Rashid Irshad: Department of Computer Science, College of Science and Arts, Sharurah, Najran University, Najran 61441, Saudi Arabia
Anwar Ali Yahya: Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran 61441, Saudi Arabia
Amin A. Al-Awady: Department of Computer Science, Faculty of Computer Science and Information Systems, Thamar University, Dhamar 87246, Yemen

Energies, 2022, vol. 15, issue 21, 1-13

Abstract: Cloud computing provides a ubiquitous data storage and access mechanism for organizations, industries, and smart grids to facilitate their operations. However, the concern in cloud storage systems is to secure data access control toward authentication for sensitive data, such as the electric vehicles (EVs) requesting information for attending a charging service. Consequently, denying an authentic user’s request will result in delaying the requested service, thereby leading to service inefficiency. The role-based access control (RBAC) plays a crucial role in securing and authenticating such time-sensitive data. The design mechanism of roles is based on skills, authority, and responsibilities for organizations. For EVs, the roles are based on the type of membership, such as permanent, occasional, or one-time. In this paper, we propose a new RBAC access control and privacy-preserving information access method toward the coarse-grained measure control and privacy protection in the cloud storage system for EVs. The data can be encrypted and decrypted based on the types of users who possess appropriate access permission toward authorized and unauthorized users according to their roles specified by role-based access control policies. The proposed approach has been simulated with various role-based scenarios, and the efficiency was evaluated against state-of-the-art role-based access-control techniques.

Keywords: charging cost; electric vehicles; heuristic algorithm; optimization; real-time price (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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