IEICE TRANSACTIONS on Information
Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.1 pp.25-32
- Publication Date
- 2020/01/01
- Publicized
- 2019/10/25
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2019MUP0006
- Type of Manuscript
- Special Section PAPER (Special Section on Enriched Multimedia — Application of Multimedia Technology and Its Security —)
- Category
Authors
Kenta IIDA
Tokyo Metropolitan University
Hitoshi KIYA
Tokyo Metropolitan University
Keyword
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Kenta IIDA, Hitoshi KIYA, "Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 1, pp. 25-32, January 2020, doi: 10.1587/transinf.2019MUP0006.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019MUP0006/_p
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@ARTICLE{e103-d_1_25,
author={Kenta IIDA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Information},
title={Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services},
year={2020},
volume={E103-D},
number={1},
pages={25-32},
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.},
keywords={},
doi={10.1587/transinf.2019MUP0006},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services
T2 - IEICE TRANSACTIONS on Information
SP - 25
EP - 32
AU - Kenta IIDA
AU - Hitoshi KIYA
PY - 2020
DO - 10.1587/transinf.2019MUP0006
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2020
AB - 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.
ER -
English
