Linear hash functions as a means of distortion-rate optimization in data embedding

Boris Ryabko, Andrey Fionov

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

Abstract

Embedding hidden data is usually performed by introducing some distortions (errors) in cover objects. If the distortions exceed a certain bound, steganalysis can detect the presence of hidden data. So the problem is to embed as much data as possible and not exceed a permissible distortion level to ensure indetectability. We describe a general class of stegosystems that solves the problem by employing linear hash functions. The suggested stegosystems allow to transmit hidden information of the amount asymptotically close to the maximum possible under the given distortion.

Original languageEnglish
Title of host publicationIH and MMSec 2019 - Proceedings of the ACM Workshop on Information Hiding and Multimedia Security
PublisherAssociation for Computing Machinery, Inc
Pages235-238
Number of pages4
ISBN (Electronic)9781450368216
DOIs
Publication statusPublished - 2 Jul 2019
Event7th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2019 - Paris, France
Duration: 3 Jul 20195 Jul 2019

Publication series

NameIH and MMSec 2019 - Proceedings of the ACM Workshop on Information Hiding and Multimedia Security

Conference

Conference7th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2019
CountryFrance
CityParis
Period03.07.201905.07.2019

Keywords

  • Data embedding
  • Data hiding
  • Embedding rate
  • Linear hash function
  • data hiding
  • linear hash function
  • data embedding
  • MODEL
  • embedding rate

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