Effective And Safe File Storage Options for Improved Data Security in Cloud Computing Settings: A Whole-System Approach to Protecting Private Information
Implementing a dynamic and reliable Role-Based Access Control (RBAC) solution that unifies several authorities in a cloud setting will improve cloud security. In cloud computing environments, where sensitive data is more susceptible to data breaches and unauthorized access, this project tackles the urgent need for reliable and secure file storage solutions. We offer a thorough strategy that incorporates multi-factor authentication, decentralized storage approaches, and sophisticated encryption techniques after examining the present issues with cloud data security. Our system places a strong emphasis on access control, safe data transmission, and data protection when it's at rest. We show how our method may improve data safety while preserving user accessibility and system efficiency through a number of real-world applications and performance tests. The results show that putting these strong security measures in place greatly reduces the risks connected to cloud storage, which eventually increases confidence in cloud-based services for managing sensitive data. Data security in multi-tenant cloud platforms is a developing topic that the project attempts to address. It suggests a revolutionary structure that integrates dynamic RBAC with the participation of several authorities, each of whom is in charge of overseeing distinct facets of user roles and permissions. By reducing the risks connected with a single point of failure, this method guarantees more resilient and decentralized access control decisions. Fine-grained access controls are incorporated into the system to guarantee that users have the bare minimum of rights while yet offering scalability to support sizable and heterogeneous user bases. The framework seeks to improve data protection and regulatory compliance by putting in place secure encryption techniques and access audit procedures, making it a strong option for safe and effective data management in cloud environments.
Institutions
- Yeovil College (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.5281/zenodo.16724169
- Primary Topic
- Agriculture and Farm Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00