Zhu Shuqin, Zhu Congxu
School of Computer Science, Liaocheng University, Liaocheng 252059, China.
School of Computer Science and Engineering, Central South University, Changsha 410083, China.
Entropy (Basel). 2021 Jun 24;23(7):804. doi: 10.3390/e23070804.
This paper proposes a more efficient attack method on an image fusion encryption algorithm based on DNA operation and hyperchaos. Although several references have reported some methods to crack the image encryption algorithm, they are not the most efficient. The proposed chosen-plaintext attack method can break the encryption scheme with (4×/+1) or (/(4×)+1) chosen-plaintext images, which is much less than the number of chosen-plaintext images used in the previous cracking algorithms, where and represent the height and width of the target ciphertext image, respectively. The effectiveness of the proposed chosen-plaintext attack is supported by theoretical analysis, and verified by experimental results.
本文针对一种基于DNA运算和超混沌的图像融合加密算法提出了一种更高效的攻击方法。尽管已有若干参考文献报道了一些破解图像加密算法的方法,但它们并非最有效的。所提出的选择明文攻击方法可以用(4×/+1)或(/(4×)+1)个选择明文图像来破解加密方案,这比先前破解算法中使用的选择明文图像数量要少得多,其中和分别表示目标密文图像的高度和宽度。所提出的选择明文攻击的有效性得到了理论分析的支持,并通过实验结果得到了验证。