Privacy-preserving image retrieval based on additive secret sharing
Zhihua Xia, Qi Gu, Lizhi Xiong, Wenhao Zhou · International Journal of Autonomous and Adaptive Communications Systems · 2024
The rapid growth of digital images motivates individuals to upload their images to the cloud server. To preserve privacy, image owners would prefer to encrypt the images before uploading, but it would limit the efficient usage of images. Plenty of schemes on privacy-preserving content-based image retrieval (PPCBIR) tries to seek the balance between security and retrieval ability. However, compared to the works in content-based image retrieval (CBIR), the existing schemes are far deficient in both accuracy and efficiency. In this paper, inspired by additive secret sharing technology, we propose a series of secure computation protocols and show their application in PPCBIR. The experiments and security analysis demonstrate the efficiency, accuracy, and security of our scheme.