<p>In the context of cloud computing, preserving the privacy of big data while also allowing for secure access control is a critical concern. With the increasing adoption of cloud technology, it is imperative to address the challenges associated with safeguarding sensitive data while enabling authorized access. This paper develops an efficient privacy-preserving security model that uses cryptographic techniques to protect sensitive data and ensure that only authorized individuals can access it. The research puts together a secure data authentication technique, named secured privacy protection access control (SecPPAccess), allowing secured communication in cloud computing. For the protection of privacy for sensitive data, the protected transferring of data is commenced among the elements, like a user, cloud server, registration authority, key generation center and data owner, by using many phases mainly the key generation phase, setup phase, server registration, user registration, data upload, data encryption, requester authentication, data access, and data download phase. Here, a method is designed newly for securing data privacy using various operations, like secret keys, hashing, encryption, etc. The study proves that the initiated SecPPAccess model achieves the highest rate of detection of 0.85, the lowest usage for memory of 0.505 MB, and less computation time of 51.50 s.</p>