a scalable framework for keyword search on encrypted data in clouds. The framework uses a cryptographic primitive called Homomorphic Encryption (HPE) to enforce fine-grained keyword search and update policies. HPE allows us to perform keyword search on encrypted data without decrypting it, which preserves the privacy of the data.The framework also implements noises in the query to hide user data and credentials. This helps to further protect the privacy of the data. We evaluated the framework on real-time datasets and demonstrated that it can be used to search encrypted data efficiently and...

This abstract delves into the realm of bolstering privacy within cloud-based keyword searches, with a specific emphasis on refining access control mechanisms. In an era dominated by cloud computing, safeguarding sensitive data has become paramount. This study explores the multifaceted dimensions of enhancing privacy during keyword searches conducted in cloud environments. A primary focus is placed on fortifying access control methodologies, recognizing their pivotal role in curbing unauthorized data exposure. By investigating innovative access control strategies and their integration with...