加密
密钥空间
算法
离散余弦变换
明文
混乱的
数学
计算机科学
理论计算机科学
作者
Zhi-Wen Huang,Nanrun Zhou
标识
DOI:10.1016/j.optlastec.2022.107879
摘要
• An image encryption scheme with 2D discrete cosine Stockwell transform and DNA-level modulus diffusion is proposed. • The 2D discrete cosine Stockwell transform performs better in image compression and anti-noise. • The improved global chaotic diffusion algorithm achieves a better diffusion effect. A new image encryption scheme is presented by combining six-dimensional non-degenerate discrete hyper-chaotic system, two-dimensional discrete cosine Stockwell transform with DNA-level modulus diffusion. The significant advantages of this scheme are the large key space, strong anti-noise ability and resistance to common attacks. To resist the powerful chosen plaintext attack, the initial conditions of the chaotic systems are generated with the SHA-512 hash function value of the plaintext image and the external key. The transmission burden is reduced by compressing the original image with the two-dimensional discrete cosine Stockwell transform. Then random DNA encoding is performed on the compressed image to obtain the DNA image. To speed up the encryption, the DNA-level modulus diffusion algorithm is designed to scramble and diffuse pixels at the same time. Finally, the final encrypted image is obtained by re-encrypting the diffused DNA image with the bit-level permutation and the improved global dynamic diffusion. The two high-dimensional chaotic systems introduced in the image encryption scheme greatly increases the key space and then the image encryption scheme can resist the brute-force attack. The presented scheme is sensitive to both plaintext images and secret keys. Simulation results show that the proposed image encryption algorithm is feasible, secure and effective.
科研通智能强力驱动
Strongly Powered by AbleSci AI