TY - GEN
T1 - A Reversible Data Hiding Approach in Medical Images Using Difference Expansion
AU - Aminy, Moh Rosy Haqqy
AU - De La Croix, Ntivuguruzwa Jean
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Network infrastructure
KW - data hiding
KW - information security
KW - medical images
KW - national security
UR - http://www.scopus.com/inward/record.url?scp=85185005704&partnerID=8YFLogxK
U2 - 10.1109/CICN59264.2023.10402139
DO - 10.1109/CICN59264.2023.10402139
M3 - Conference contribution
AN - SCOPUS:85185005704
T3 - Proceedings - 2023 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023
SP - 358
EP - 362
BT - Proceedings - 2023 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2023
Y2 - 22 December 2023 through 23 December 2023
ER -