A Secure And Auditable Access Control Framework For Big Data Storage In Clouds

As cloud-based big data storage continues to grow, ensuring secure and verifiable access control has become a critical challenge. Traditional access control mechanisms struggle with scalability, data integrity, and unauthorized access. This project presents a Secure and Verifiable Access Control Scheme for cloud-based big data storage, utilizing Java, HTML, CSS, JavaScript, and JDBC. The system implements a combination of role-based and attribute-based access control (RBAC & ABAC) to dynamically grant permissions based on user roles and predefined attributes. To safeguard sensitive data, encryption techniques are employed, ensuring confidentiality and integrity. Additionally, a logging and verification mechanism tracks access activities, enhancing transparency and auditability. The backend, built with Java and JDBC, ensures secure and efficient database interactions, while the frontend, designed with HTML, CSS, and JavaScript, offers a user-friendly interface for seamless administration. This approach strengthens security, prevents unauthorized access, and upholds data integrity while enabling efficient access control for cloud-stored big data.