Abstract

Content-Based Image Retrieval" (CBIR) refers to searching for and retrieving images without relying on metadata or user comments. As cloud services are increasingly in demand, CBIR has emerged as an efficient and effective solution for image storage systems; however, the problem of users' right to privacy poses significant obstacles to consumer adoption. To address this challenge, CBIR systems that safeguard users' privacy have been developed. These methods ensure the secure recovery of images and protect any sensitive information contained within them. This all-encompassing review delves into various strategies for retrieving images from the cloud while preserving users' privacy. We scrutinize methods that rely on encryption, secure multi-party computation, and potential future breakthroughs in this field. Our goal is to provide researchers with a comprehensive understanding of privacy protection in cloud-based image retrieval by assessing the pros and cons of each strategy. As a result, we examine the benefits and drawbacks of each strategy. Consequently, our survey results prove to be an indispensable resource for accelerating innovation and devising efficient strategies to protect users' privacy.