Lossless Reversible Data Hiding in Encrypted Image for Multiple Data Hiders Based on Pixel Value Order and Secret Sharing.

Haoyang Yu, Junwei Zhang, Zixiao Xiang, Biao Liu, Huamin Feng

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haoyang YuSchool of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China.ORCID 0000-0001-7317-726X

Junwei ZhangSchool of Cyber Engineering, Xidian University, Xi'an 710071, China.ORCID 0000-0002-6705-5511

Zixiao XiangBeijing Electronic Science and Technology Institute, Beijing 100070, China.

Biao LiuBeijing Electronic Science and Technology Institute, Beijing 100070, China.

Huamin FengBeijing Electronic Science and Technology Institute, Beijing 100070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reversible data hiding in encrypted images (RDH-EI) is instrumental in image privacy protection and data embedding. However, conventional RDH-EI models, involving image providers, data hiders, and receivers, limit the number of data hiders to one, which restricts its applicability in scenarios requiring multiple data embedders. Therefore, the need for an RDH-EI accommodating multiple data hiders, especially for copyright protection, has become crucial. Addressing this, we introduce the application of Pixel Value Order (PVO) technology to encrypted reversible data hiding, combined with the secret image sharing (SIS) scheme. This creates a novel scheme, PVO, Chaotic System, Secret Sharing-based Reversible Data Hiding in Encrypted Image (PCSRDH-EI), which satisfies the (k,n) threshold property. An image is partitioned into

Indexed as

reversible data hiding in encrypted domainsecret sharingsecure multi-party computing

Identifiers

PMID37430779

DOI10.3390/s23104865

PMCPMC10222064

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.