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.
Funder
Ministry of Education and the Deanship of Scientific Research, Najran University, Kingdom of Saudi Arabia
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference31 articles.
1. Secure Data Access Privacy Preserving Using Cloud Services;Rajkumar;J. Phys. Conf. Ser.,2021
2. Privacy-preserving data processing with flexible access control;Wenxiu;IEEE Trans. Dependable Secur. Comput.,2017
3. Privacy-preserving public auditing for secure data storage in fog-to-cloud computing;Tian;J. Netw. Comput. Appl.,2019
4. Shi, Y. Data security and privacy protection in public cloud. Proceedings of the 2018 IEEE International Conference on Big Data (Big Data).
5. A secure data privacy preservation for on-demand cloud service;Chandramohan;J. King Saud-Univ.-Eng. Sci.,2017
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