Secure Retrieval of Brain Tumor Images using Perceptual Encryption

The computation and storage capabilities of a cloud-server can bring the benefits of high scalability and availability to an image retrieval application; however, their main limitation comes from the associated privacy concerns during data transmission, storage and computation. To ensure privacy, this study implements a content-based image retrieval application for finding different types of brain tumors in the encrypted domain. In this framework, we propose a perceptual encryption technique to protect images in a way that their features necessary for high-dimensional representation can still be extracted from the cipher-images. Experimental results show that compared to conventional secure techniques our proposed system reduces difference in non-secure and secure retrieval performance up to $3 \%$.