Kelvin Ovabor and Travis Atkison, University of Alabama, USA

The ability to effectively implement user-centric privacy controls in cloud-based identity access management (IAM) systems is crucial in today's age of rapidly rising data and increased privacy concerns. The study tackles the scalability issue inside cloud-based IAM systems, where user-centric privacy controls are paramount. The study aims to guarantee effective system performance despite growing numbers of users and data items by following a carefully crafted approach that uses user-centric privacy algorithms. The findings are expected to increase scalability while maintaining security and user privacy, significantly improving current cloud security and IAM techniques. This study provides significant findings for businesses adapting to the changing environment of cloud-based access and identity management, enhancing the security and privacy aspects of the online environment.

Cloud-based System, Identity Management, Access Control, Security, user-centric privacy