TY - GEN
T1 - A Secure Color Image Encryption Scheme Based on Chaos
AU - Suman, Rajiv Ranjan
AU - Mondal, Bhaskar
AU - Singh, Sunil Kumar
AU - Mandal, Tarni
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - With the current explosion of the Internet, the transmission of sensitive personal data also increased significantly. Large volumes of color images and multimedia data transferred over the insecure channel are prone to unintentional disclosure. The privacy and integrity of such data are especially important and can be assured by encrypting them. In this paper, we propose a scheme based on permutation and diffusion to encrypt color images. We use a chaotic Duffin map to generate pseudo-random numbers. The encrypted image is obtained by performing permutation as well as diffusion of the image pixels using these numbers. The proposed scheme demonstrates potential cryptographic strength in the test results that includes correlation coefficient, entropy, PSNR, UACI, and NPCR. This scheme is scalable to very large images.
AB - With the current explosion of the Internet, the transmission of sensitive personal data also increased significantly. Large volumes of color images and multimedia data transferred over the insecure channel are prone to unintentional disclosure. The privacy and integrity of such data are especially important and can be assured by encrypting them. In this paper, we propose a scheme based on permutation and diffusion to encrypt color images. We use a chaotic Duffin map to generate pseudo-random numbers. The encrypted image is obtained by performing permutation as well as diffusion of the image pixels using these numbers. The proposed scheme demonstrates potential cryptographic strength in the test results that includes correlation coefficient, entropy, PSNR, UACI, and NPCR. This scheme is scalable to very large images.
UR - https://www.scopus.com/pages/publications/85120048195
UR - https://www.scopus.com/pages/publications/85120048195#tab=citedBy
U2 - 10.1007/978-981-16-5078-9_31
DO - 10.1007/978-981-16-5078-9_31
M3 - Conference contribution
AN - SCOPUS:85120048195
SN - 9789811650772
T3 - Lecture Notes in Electrical Engineering
SP - 365
EP - 375
BT - Machine Vision and Augmented Intelligence—Theory and Applications - Select Proceedings of MAI 2021
A2 - Bajpai, Manish Kumar
A2 - Kumar Singh, Koushlendra
A2 - Giakos, George
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Machine Vision and Augmented Intelligence, MAI 2021
Y2 - 11 February 2021 through 14 February 2021
ER -