In response to the rapid growth of cloud-based services and the increasing storage of sensitive data, a robust biometric authentication system is urgently needed. This project addresses this demand by ensuring secure user identity in cloud computing environments. Our approach follows a tripartite framework involving data owners, users, and the cloud, ensuring biometric data confidentiality during transmission and storage. Encrypted biometric information is securely transferred from the data owner to the cloud when a user requests authentication. Upon receiving the encrypted query, the cloud server processes it and returns an index to the database owner, enabling biometric attribute similarity computation. The proposed framework integrates advanced encryption and privacy-preserving mechanisms to protect users' biometric data. Additionally, it mitigates collusion attacks between users and the cloud, strengthening system security. This research aims to establish a benchmark for secure, privacy-enhancing biometric identification in cloud environments, advancing cloud-based services with enhanced usability and stringent data security.