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Steganography Techniques in Medical Images, a Systematic Review

  • K. Shreesha
  • , K. N. Manjunath*
  • , N. Vamshi Kulkarni
  • , Manuel Manuel
  • , Anjali Kulkarni
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In radiodiagnosis and imaging, vast amounts of medical image data, including image and non-image information, are generated every second from different radiology centers. The safe transmission of these images over an insecure network is a challenge, as the data are susceptible to attacks over an insecure network. Several cryptography schemes have been in place for many years, but they are time-consuming tasks for coding and decoding images. Therefore, improved solutions are required to ensure the integrity of the data. Steganography is one such method that is a science and art of hiding data or confidential information in any cover medium so that the data can be secured. For example, a known video, audio, or image can be used as a cover medium for secure communications. Various techniques are used to hide the secret data in an image, and the purpose of this review is to provide insight into the state-of-the-art techniques in image steganography in the radiology domain. This paper provides a brief overview and review of steganography techniques and their applications in the medical domain, a comparison with state-of-the-art technology, and the scope of future work. We considered indexed journal papers from the last ten years of the systematic review. There is scope for the improvement of this technique on the set of images at the dataset level instead of individual images which would provide more security to images.

Original languageEnglish
Title of host publicationInformation System Design
Subtitle of host publicationCommunication Networks and Internet of Things - Proceedings of 9th International Conference on Information System Design and Intelligent Applications, ISDIA 2025
EditorsVikrant Bhateja, Zeenath Reza Khan, Milan Simic, Dilip Kumar Sharma
PublisherSpringer Science and Business Media Deutschland GmbH
Pages109-121
Number of pages13
ISBN (Print)9789819692446
DOIs
Publication statusPublished - 2026
Event9th International Conference on Information System Design and Intelligent Applications, ISDIA 2025 - Dubai, United Arab Emirates
Duration: 03-01-202504-01-2025

Publication series

NameLecture Notes in Networks and Systems
Volume1538 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference9th International Conference on Information System Design and Intelligent Applications, ISDIA 2025
Country/TerritoryUnited Arab Emirates
CityDubai
Period03-01-2504-01-25

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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