Secure and search efficient information retrieval over encrypted cloud data

Abstract

The cost-effectiveness and ease of use of cloud computing have made it a popular choice for storing and sharing data. However, security and privacy issues have always been a major concern, especially when sensitive data is stored in the cloud. Because of the rise of brainy terminals, the (CBIR) method has received a lot of attention (e.g., cloud computing, and social networking services). CBIR services are critical in many cloud applications, such as protecting user privacy, resolving digital image copyright issues, and improving the scalability and security of data cloud databases. Despite the ability to guarantee file privacy while supporting file retrieval, CBIR schemes that preserve image privacy have inherent flaws (e.g., low search accuracy). In this paper, we propose a safe and efficient method for retrieving information from encrypted cloud data without jeopardizing user privacy. This paper describes a method for securely and efficiently retrieving information from encrypted cloud data utilizing the AES algorithm with homomorphic encryption. The proposed solution enables users to encrypt their data before uploading it to the cloud, guaranteeing that it remains private and secure against unauthorized access. The AES algorithm is used to encrypt the data, and homomorphic encryption is utilized to allow search operations on the encrypted data without first decrypting it. Our method is based on homomorphic encryption and allows for well-organized search operations through the use of tree-based index construction. We propose a secure and efficient information retrieval method over encrypted cloud data using the Advanced Encryption Standard (AES) algorithm in this paper.