基于位平面-块置乱的图像加密算法安全性分析

doi:10.3969/j.issn.0255-8297.2019.05.005

应用科学学报 ›› 2019, Vol. 37 ›› Issue (5): 631-642.doi: 10.3969/j.issn.0255-8297.2019.05.005

基于位平面-块置乱的图像加密算法安全性分析

屈凌峰, 陈帆, 和红杰, 袁源

西南交通大学信息科学与技术学院, 成都 610031

收稿日期:2019-07-30 修回日期:2019-08-01 出版日期:2019-09-30 发布日期:2019-10-18
通信作者: 陈帆,副教授,研究方向:数字图像处理,E-mail:Fchen@swjtu.edu.cn. E-mail:Fchen@swjtu.edu.cn
基金资助:
国家自然科学基金（No.61872303，No.61461047）；四川省科技厅科技创新人才计划（No.2018RZ0143）；四川省科技创新创业苗子工程重点项目（No.19MZGC0163）资助

Security Analysis of Image Encryption Algorithm Based on Bit Plane-Pixel Block Scrambling

QU Lingfeng, CHEN fan, HE Hongjie, YUAN yuan

College of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China

Received:2019-07-30 Revised:2019-08-01 Online:2019-09-30 Published:2019-10-18

摘要/Abstract

摘要： 针对基于阿诺德变换的加密算法（Arnold transform-based encryption method，ATBEM）提出一种基于图像块均方根的已知明文攻击方法.首先利用加密前后明文图像0、1分布比例不变的特征估计出位平面置乱顺序，恢复原始像素的值；然后根据块置乱和块内像素置乱保持像素值恒定不变的特性，定义图像块均方根特征以查找和估计块置乱矩阵.分析讨论了图像块置乱加密的安全性能，结果表明：对于图像块置乱加密，图像越平滑分块越小，破解所需的明密文对数越多，已知明文攻击难度越大.实验结果验证了图像纹理越复杂，攻击效果越好，在分块大小为2×2的条件下，攻击者仅需已知一对明文-密文对即可破解块置乱加密50%以上的图像内容，因此ATBEM加密算法难以抵抗所提出的已知明文攻击.

关键词: 加密域可逆信息隐藏, 图像块均方根, 已知明文攻击, 位平面-块置乱加密

Abstract: In this paper, a known plaintext attack method based on the root mean square (RMS) of image block is proposed for ATBEM. Firstly, the scrambling sequence of bit planes is estimated to restore the original pixel value by using the invariant distribution ratio of 0 and 1 of plaintext images before and after encryption. Then, according to the characteristics of block scrambling and intra-block scrambling, which keeps the pixel value constant, a root mean square (RMS) feature of image block is defined to find and estimate the block scrambling matrix. The security performance of image block scrambling encryption is analyzed and discussed. The analysis results show that the smoother the image is, the smaller the blocks are, the more plaintext logarithms are needed to crack, and the more difficult the known plaintext attack is. Experimental results verify that the more texture the image is, the better the attack effect is. Under the condition of 2×2 block size, the attacker can crack more than 50% of the ciphertext image content with only one pair of known plaintext-ciphertext pairs known. And ATBEM encryption algorithm is difficult to resist the proposed known plaintext attack.

Key words: reversible data hiding in encrypted image, image block root mean square (RMS), known plaintext attack, bit plane-block scrambling

中图分类号:

TP391

屈凌峰, 陈帆, 和红杰, 袁源. 基于位平面-块置乱的图像加密算法安全性分析[J]. 应用科学学报, 2019, 37(5): 631-642.

QU Lingfeng, CHEN fan, HE Hongjie, YUAN yuan. Security Analysis of Image Encryption Algorithm Based on Bit Plane-Pixel Block Scrambling[J]. Journal of Applied Sciences, 2019, 37(5): 631-642.

[1] Shi Y Q, Li X L, Zhang X P, et al. Reversible data hiding:advances in the past two decades[J]. IEEE Access, 2016(4):3210-3237.
[2] Ma K, Zhang W M, Zhao X F, et al. Reversible data hiding in encrypted images by reserving room before encryption[J]. IEEE Transactions on Information Forensics and Security, 2013, 8(3):553-562.
[3] Xu D, Wang R D. Separable and error-free reversible data hiding in encrypted images[J]. Signal Processing, 2016, 123:9-21.
[4] Thaison N, Chang C, Chang W C. High capacity reversible data hiding scheme for encrypted images[J]. Signal Processing:Image Communication, 2016, 44:84-91.
[5] Cao X, Du L, Wei X, et al. High capacity reversible data hiding in encrypted images by patchlevel sparse representation[J]. IEEE Transactions on Cybernetics, 2016, 46(5):1132-1143.
[6] Yi S, Zhou Y C. Binary-block embedding for reversible data hiding in encrypted images[J]. Signal Processing, 2017, 133:40-51.
[7] Chen Y, Yan S, He H, et al. Secure reversible data hiding in encrypted images based on MSB-flip prediction:China, 201810174576.8[P]. 2018-03-02.
[8] Zhang X. Separable reversible data hiding in encrypted image[J]. IEEE Transactions on Information Forensics and Security, 2012, 7(2):826-832.
[9] Yin Z, Luo B, Hong W. Separable and error-free reversible data hiding in encrypted image with high payload[J]. The Scientific World Journal, 2014(1):1-8.
[10] Yin Z X, Abel A, Zhang X P, et al. Reversible data hiding in encrypted image based on block histogram shifting[J]. IEEE International Conference on Acoustics, Speech and Signal Processing, 2016:2129-2133.
[11] Yin Z X, Abel A, Tang J, et al. Reversible data hiding in encrypted images based on multilevel encryption and block histogram modification[J]. Multimedia Tools and Applications, 2017, 76(3):1-22.
[12] Zhou J T, Sun W W, Dong L, et al. Secure reversible image data hiding over encrypted domain via key modulation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(3):441-452.
[13] Qian Z, Zhang X. Reversible data hiding in encrypted images with distributed source encoding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(4):636-646.
[14] Qin C, He Z, Luo X, et al. Reversible data hiding in encrypted image with separable capability and high embedding capacity[J]. Information Sciences, 2018, 465:285-304.
[15] Qin C, Zhang W, Cao F, et al. Separable reversible data hiding in encrypted images via adaptive embedding strategy with block selection[J]. Signal Processing, 2018, 153:109-122.
[16] Liu Z, Pun C. Reversible data-hiding in encrypted images by redundant space transfer[J]. Information Sciences, 2018, 433(1):188-203.
[17] Khelifi F. On the security of a stream cipher in reversible data hiding schemes operating in the encrypted domain[J]. Signal Processing, 2018, 143:336-345.
[18] Li S J, Li C Q, Chen G R, et al. A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks[J]. Signal Processing:Image Communication, 2008, 23(3):212-223.
[19] Li C, Lo K T. Optimal quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks[J]. Signal Processing:Image Communication, 2009, 91(4):949-954.
[20] Jolfaei A, Wu X, Muthukkumarasamy V. On the security of permutation-only image encryption schemes[J]. IEEE Transactions on Information Forensics and Security, 2016, 11(2):235-246.
[21] Zhang W, Wong K W, Yu H, et al. A symmetric color image encryption algorithm using the intrinsic features of bit distributions[J]. Communications in Nonlinear Science and Numerical Simulation, 2013, 18(3):584-600.

基于位平面-块置乱的图像加密算法安全性分析

Security Analysis of Image Encryption Algorithm Based on Bit Plane-Pixel Block Scrambling

PDF

可视化

摘要/Abstract

引用本文

使用本文

相关文章 15

编辑推荐

Metrics

本文评价

[1]	赵子霄, 王昊, 申涛, 江姝婷, 张思琦, 赖华, 黄于欣, 余正涛. 基于语言特征增强的汉-缅平行句对抽取方法[J]. 应用科学学报, 2026, 44(3): 377-389.
[2]	廖清, 陈泓佑, 刘重阳, 屈凌峰, 段纪平, 夏萍, 田宝单, 范勇. 基于AttResVGG模型的燃烧室点火预测算法[J]. 应用科学学报, 2026, 44(3): 390-408.
[3]	江泽涛, 金鑫, 冷路, 朱文才. 基于特征优化的低照度小样本目标检测方法[J]. 应用科学学报, 2026, 44(3): 422-436.
[4]	何晓晨, 丁德锐, 李明, 王飞, 王博. 融合双重注意力机制的轻量级U型肺部病灶图像分割网络[J]. 应用科学学报, 2026, 44(3): 437-451.
[5]	路勇杰, 安平, 黄新彭, 杨超. 基于隐式视差补偿的光场图像压缩[J]. 应用科学学报, 2026, 44(3): 452-464.
[6]	郭艳, 王浩然, 侯嵩松, 段旭良, 穆炯. 超图神经网络驱动的跨视角群组推荐算法[J]. 应用科学学报, 2026, 44(3): 486-502.
[7]	高光亮, 梁伟超, 朱涛, 洪磊, 夏玲玲. 融合图文特征的多模态谣言检测方法[J]. 应用科学学报, 2026, 44(3): 503-514.
[8]	李永桢, 马涪元, 马世旋, 王钰涵, 王英. 基于结构增强和深度聚类的网络群体识别[J]. 应用科学学报, 2026, 44(1): 1-20.
[9]	李银香, 杜文元, 许哲, 彭晨, 颜建强. 基于自适应池增强注意力机制的交通模式实时识别算法[J]. 应用科学学报, 2026, 44(1): 21-33.
[10]	张钰婷, 滕飞, 叶晓庆. 基于高斯度量学习的不确定性知识图谱推理模型[J]. 应用科学学报, 2026, 44(1): 50-66.
[11]	向尕, 胡演, 张仰森, 孙露, 齐睿, 谭自程. 面向威胁情报分析的恶意软件知识图谱构建[J]. 应用科学学报, 2026, 44(1): 67-82.
[12]	伊华伟, 宋仕玺, 王艳飞, 白思怡. 融合图神经网络和深度图聚类的联邦推荐算法[J]. 应用科学学报, 2026, 44(1): 83-96.
[13]	吴文强, 陈爱斌, 李潇瑶. 基于特征融合注意力和对比学习的森林图像去雾[J]. 应用科学学报, 2026, 44(1): 97-109.
[14]	张晓明, 冯泽嘉, 王会勇, 张晓静. 基于动态注意力强化学习的可解释学习路径推荐[J]. 应用科学学报, 2026, 44(1): 110-133.
[15]	金正洋, 阎少宏, 张艳博, 姚旭龙, 陶志刚, 陈志远. 融合空间纹理特征的三维模糊聚类算法[J]. 应用科学学报, 2026, 44(1): 134-148.