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A Novel Lossless Data Hiding Scheme in Homomorphically Encrypted Images

  • Asad Malik
  • , Hongxia Wang
  • , Ahmad Neyaz Khan
  • , Yanli Chen
  • , Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

In this paper, we have presented a novel lossless data hiding scheme in a homomorphically encrypted image. After applying the homomorphic encryption function to the original image by the content owner, the data hider can embed the additional data in a lossless manner, without revealing the original content of the image. Meanwhile, the data hider chooses a threshold value and generates a location map accordingly. This location map is considered as an auxiliary information. The receiver can recover the additional data using the shared auxiliary information in a separable manner. And the original image is recovered losslessly, without any post-processing, by the homomorphic decryption function. In our proposed scheme, no distortion is introduced in the data hiding phase, as a result the directly decrypted image is the same as the original image. The experimental results show that, the scheme has better performance than some of the state-of-the-art methods with high embedding rate and distortionless directly decrypted image.

Original languageEnglish
Title of host publication18th International Workshop, IWDW 2019 Chengdu, China, November 2–4, 2019 Revised Selected Papers
EditorsHongxia Wang, Xianfeng Zhao, Yunqing Shi, Hyoung Joong Kim, Alessandro Piva
Place of PublicationCham Switzerland
PublisherSpringer
Pages213-220
Number of pages8
ISBN (Electronic)9783030435752
ISBN (Print)9783030435745
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Workshop on Digital Forensics and Watermarking 2019 - Chengdu, China
Duration: 2 Nov 20194 Nov 2019
Conference number: 18TH
https://link.springer.com/book/10.1007/978-3-030-43575-2 (Proceedings)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12022
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Digital Forensics and Watermarking 2019
Abbreviated titleIWDW 2019
Country/TerritoryChina
CityChengdu
Period2/11/194/11/19
Internet address

Keywords

  • Cloud computing
  • High capacity
  • Homomorphic cryptography
  • Lossless data hiding
  • Reversible Data Hiding

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