MSPPIR: Multi-source privacy-preserving image retrieval in cloud computing

by   Qi Gu, et al.

Content-Based Image Retrieval (CBIR) techniques have been widely researched and in service with the help of cloud computing like Google Images. However, the images always contain rich sensitive information. In this case, the privacy protection become a big problem as the cloud always can't be fully trusted. Many privacy-preserving image retrieval schemes have been proposed, in which the image owner can upload the encrypted images to the cloud, and the owner himself or the authorized user can execute the secure retrieval with the help of cloud. Nevertheless, few existing researches notice the multi-source scene which is more practical. In this paper, we analyze the difficulties in Multi-Source Privacy-Preserving Image Retrieval (MSPPIR). Then we use the image in JPEG-format as the example, to propose a scheme called JES-MSIR, namely a novel JPEG image Encryption Scheme which is made for Multi-Source content-based Image Retrieval. JES-MSIR can support the requirements of MSPPIR, including the constant-rounds secure retrieval from multiple sources and the union of multiple sources for better retrieval services. Experiment results and security analysis on the proposed scheme show its efficiency, security and accuracy.


page 5

page 6

page 7

page 9

page 11

page 14

page 15

page 16


Content-Based Multi-Source Encrypted Image Retrieval in Clouds with Privacy Preservation

Content-based image retrieval (CBIR) is one of the fundamental image ret...

Privacy-Preserving Image Retrieval Based on Additive Secret Sharing

The rapid growth of digital images motivates individuals and organizatio...

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing

Image retrieval systems help users to browse and search among extensive ...

CPAR: Cloud-Assisted Privacy-preserving Image Annotation with Randomized KD-Forest

With the explosive growth in the number of pictures taken by smart phone...

A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset

In this paper, we propose a privacy-preserving image-retrieval scheme us...

cSELENE: Privacy Preserving Query Retrieval System on Heterogeneous Cloud Data

While working in collaborative team elsewhere sometimes the federated (h...

Towards Privacy-Preserving, Real-Time and Lossless Feature Matching

Most visual retrieval applications store feature vectors for downstream ...

Please sign up or login with your details

Forgot password? Click here to reset