Improved Interpolation-Based Reversible Audio Data Hiding Using Sample Dispersion and Value Shifting

Yoga Samudra, Tohari Ahmad*

*Corresponding author for this work

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

Abstract

Since the last decade, data transmission has kept developing faster than ever. With the support of online systems and mobile devices, the development of data transmission is also followed by up-to-date or newer applications. However, this development of data transmission is not without risk. Many users are still negligent in maintaining their data privacy, leading to disclosing their private data. Therefore, data security is needed to ensure the safety of the private data being transmitted. Data hiding is one of the methods introduced in data security. In this research, private data are embedded inside an audio cover to be retrieved safely from the receiver. Nevertheless, the capacity of private data and the similarity level of embedded audio files become a significant problem. We focus on extending the capacity of private data by utilizing an interpolation-based approach and optimizing the similarity level by dispersing the embedding space and shifting the embedded value to be as close as possible to the original audio file. The experimental results show that this approach can obtain a similarity level of 103.5 dB when embedding 100 kb of data and fall to approximately 88.15 dB when embedding 300 kb of data.

Original languageEnglish
Title of host publicationHybrid Intelligent Systems - 21st International Conference on Hybrid Intelligent Systems, HIS 2021
EditorsAjith Abraham, Patrick Siarry, Vincenzo Piuri, Niketa Gandhi, Gabriella Casalino, Oscar Castillo, Patrick Hung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages647-656
Number of pages10
ISBN (Print)9783030963040
DOIs
Publication statusPublished - 2022
Event21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021 - Virtual, Online
Duration: 14 Dec 202116 Dec 2021

Publication series

NameLecture Notes in Networks and Systems
Volume420 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021
CityVirtual, Online
Period14/12/2116/12/21

Keywords

  • Data hiding
  • Information security
  • Network infrastructure
  • Network security

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