Name
Abstract | ||
|---|---|---|
To mitigate the shortcomings of existing medical image encryption algorithms, including a lack of anti-tampering methods and security, this report presents an anti-tampering encryption algorithm for medical images that is based on a self-verification matrix. First, chaotic coordinates generated by chaos are used to traverse all pixels in a plain image to generate a two-dimensional matrix (a self-verification matrix) with positioning information. The accurate location of illegally altered image pixels can be detected using the self-verification matrix. To improve the security of the self-authentication matrix, DNA coding is also applied to the self-authentication matrix, and the plain image is also diffused statically to destroy the pixel distribution. Next, the scrambled image and self-verification matrix are mixed and cross-scrambled. Finally, the fused image is diffused dynamically to improve the security of the encrypted image. Experimental simulation and performance analysis show that the algorithm achieves good encryption effectiveness, provides strong anti-tampering capabilities, and can accurately locate at least 4 pixels. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1049/ipr2.12263 | IET IMAGE PROCESSING |
DocType | Volume | Issue |
Journal | 15 | 12 |
ISSN | Citations | PageRank |
1751-9659 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenlong Man | 1 | 1 | 1.03 |
| Jinqing Li | 2 | 3 | 5.81 |
| Xiaoqiang Di | 3 | 9 | 7.31 |