TY - GEN
T1 - Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing
AU - Wu, Hao Tian
AU - Cheung, Yiu Ming
AU - Zhuang, Zhenwei
AU - Tang, Shaohua
N1 - Funding Information:
The work was partially supported by Natural Science Foundation of China under Grants 61772208, 61672444 and 61632013, and the Fundamental Research Funds for the Central Universities of China, and the Initiation Grant for Faculty Niche Research Areas (IG-FNRA) of HKBU with Grant: RC-FNRA-IG/18-19/SCI/03.
PY - 2020/1/25
Y1 - 2020/1/25
N2 - Recently, reversible data hiding in encrypted images (RDH-EI) has been developed to transmit additional data. Besides extracting the hidden data, the original or processed image should be obtained when needed. In this paper, a new RDH-EI method for homomorphic encrypted images is proposed by utilizing the additive homomorphism and self-blinding property in Paillier cryptosystem. Specifically, part of the hidden data may be extracted before image decryption while the rest can be extracted after image decryption. In addition, no preprocessing is required so that homomorphic processing can be performed before data embedding. The experimental results on test images validate that the proposed method is compatible with homomorphic image processing before data embedding. Compared with the state-of-the-art methods, higher embedding capacity can be obtained with the proposed method while the original or processed image can be correctly generated.
AB - Recently, reversible data hiding in encrypted images (RDH-EI) has been developed to transmit additional data. Besides extracting the hidden data, the original or processed image should be obtained when needed. In this paper, a new RDH-EI method for homomorphic encrypted images is proposed by utilizing the additive homomorphism and self-blinding property in Paillier cryptosystem. Specifically, part of the hidden data may be extracted before image decryption while the rest can be extracted after image decryption. In addition, no preprocessing is required so that homomorphic processing can be performed before data embedding. The experimental results on test images validate that the proposed method is compatible with homomorphic image processing before data embedding. Compared with the state-of-the-art methods, higher embedding capacity can be obtained with the proposed method while the original or processed image can be correctly generated.
KW - Homomorphic encryption
KW - Paillier cryptosystem
KW - Privacy protection
KW - Reversible data hiding
UR - http://www.scopus.com/inward/record.url?scp=85079093729&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39303-8_11
DO - 10.1007/978-3-030-39303-8_11
M3 - Conference proceeding
AN - SCOPUS:85079093729
SN - 9783030393021
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 141
EP - 154
BT - Information Security Applications
A2 - You, Ilsun
PB - Springer
T2 - 20th World Conference on Information Security Applications, WISA 2019
Y2 - 21 August 2019 through 24 August 2019
ER -