A Reversible Data Hiding Approach in Medical Images Using Difference Expansion

Moh Rosy Haqqy Aminy, Ntivuguruzwa Jean De La Croix, Tohari Ahmad

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

1 Citation (Scopus)

Abstract

The use of digital multimedia has become a promising way to protect sensitive information by hiding it within these media files. This technique, known as steganography, has gained popularity because digital images are readily available on public networks. However, current research in steganography faces a challenge: when a substantial amount of secret data is hidden within these images, it can lead to noticeable distortions in the image quality. This distortion makes most steganographic schemes not considered to be used for protecting sensitive data, such as the ones from medical applications. In this research, we present a new steganographic algorithm to optimize image quality after using it as a carrier of secret data. In our method, we use the spaces between the adjacent pixels to improve the imperceptibility of the image. The experimental results of our method show a significant improvement compared to the existing ones.

Original languageEnglish
Title of host publicationProceedings - 2023 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages358-362
Number of pages5
ISBN (Electronic)9798350324433
DOIs
Publication statusPublished - 2023
Event15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023 - Bangkok, Thailand
Duration: 22 Dec 202323 Dec 2023

Publication series

NameProceedings - 2023 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023

Conference

Conference15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023
Country/TerritoryThailand
CityBangkok
Period22/12/2323/12/23

Keywords

  • Network infrastructure
  • data hiding
  • information security
  • medical images
  • national security

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