Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing

Hao Tian Wu*, Yiu Ming CHEUNG, Zhenwei Zhuang, Shaohua Tang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers
EditorsIlsun You
PublisherSpringer
Pages141-154
Number of pages14
ISBN (Print)9783030393021
DOIs
Publication statusPublished - 2020
Event20th World Conference on Information Security Applications, WISA 2019 - Jeju Island, Korea, Republic of
Duration: 21 Aug 201924 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11897 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th World Conference on Information Security Applications, WISA 2019
Country/TerritoryKorea, Republic of
CityJeju Island
Period21/08/1924/08/19

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Homomorphic encryption
  • Paillier cryptosystem
  • Privacy protection
  • Reversible data hiding

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