TY - GEN
T1 - Steganography Techniques in Medical Images, a Systematic Review
AU - Shreesha, K.
AU - Manjunath, K. N.
AU - Vamshi Kulkarni, N.
AU - Manuel, Manuel
AU - Kulkarni, Anjali
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105023279677
UR - https://www.scopus.com/pages/publications/105023279677#tab=citedBy
U2 - 10.1007/978-981-96-9245-3_9
DO - 10.1007/978-981-96-9245-3_9
M3 - Conference contribution
AN - SCOPUS:105023279677
SN - 9789819692446
T3 - Lecture Notes in Networks and Systems
SP - 109
EP - 121
BT - Information System Design
A2 - Bhateja, Vikrant
A2 - Reza Khan, Zeenath
A2 - Simic, Milan
A2 - Sharma, Dilip Kumar
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Information System Design and Intelligent Applications, ISDIA 2025
Y2 - 3 January 2025 through 4 January 2025
ER -