# An Image Identification Scheme of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

## TL;DR

This paper introduces a robust method for identifying encrypted JPEG images that have undergone multiple compressions and re-encryptions, enhancing privacy-preserving photo sharing.

## Contribution

It presents a novel image identification scheme using feature vectors from encrypted JPEGs, effective even after multiple recompressions and re-encryptions.

## Key findings

- High identification accuracy after multiple recompressions
- Effective identification despite different encryption keys
- Robust feature extraction from encrypted images

## Abstract

We propose an image identification scheme for double-compressed encrypted JPEG images that aims to identify encrypted JPEG images that are generated from an original JPEG image. To store images without any visual sensitive information on photo sharing services, encrypted JPEG images are generated by using a block-scrambling-based encryption method that has been proposed for Encryption-then-Compression systems with JPEG compression. In addition, feature vectors robust against JPEG compression are extracted from encrypted JPEG images. The use of the image encryption and feature vectors allows us to identify encrypted images recompressed multiple times. Moreover, the proposed scheme is designed to identify images re-encrypted with different keys. The results of a simulation show that the identification performance of the scheme is high even when images are recompressed and re-encrypted.