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Content-adaptive image encryption with partial unwinding decomposition

文献类型：期刊论文

作者Wu, Yongfei1,2; Zhang, Liming2; Qian, Tao3; Liu, Xilin1; Xie, Qiwei4,5
刊名SIGNAL PROCESSING
出版日期2021-04-01
卷号181页码:14
关键词Information security Image encryption Image-content-adaptive encryption Partial unwinding decomposition
ISSN号0165-1684
DOI10.1016/j.sigpro.2020.107911
通讯作者Zhang, Liming(lmzhang@um.edu.mo)
英文摘要This study designs a novel image encryption cryptosystem through the two-dimensional partial unwinding decomposition (2D-PUD). It consists of three stages. Firstly, a stream sequence (first part of the security key) is generated by pseudo-random number. Secondly, the plain image is decomposed into three parts by 2D-PUD: one 2D decomposition component, two 1D decomposition components, and the average intensity value of the image. Finally, the 2D decomposition component is shuffled by a generalized Arnold transform where the average intensity value is selected as second part of the security key. The diffusion scheme is subsequently applied to the scrambled image via exclusive OR operations with the randomized 1D decomposition components (third part of the security key) along rows and columns to obtain the cipher image. Due to the adaptive attribute of 2D-PUD, the generated 1D decomposition components are completely distinct for different images. In addition, we can also make them significantly different by tuning the decomposition times for the same image. Thus, the proposed algorithm is an image-content-adaptive encryption scenario that can effectively resist cryptographic attacks. Simulation results demonstrate that our proposed method has excellent encryption performance and can resist against various typical attacks, including brute force, statistical, entropy, and differential attacks. (C) 2020 Elsevier B.V. All rights reserved.
WOS关键词ALGORITHM ; PERMUTATION ; WATERMARKING ; TRANSFORM ; DCT
资助项目National Natural Science Foundation of China[61901292] ; Natural Science Foundation of Shanxi Province, China[201801D221186] ; Natural Science Foundation of Shanxi Province, China[201901D211080] ; Science and Technology Development Fund of Macao SAR[FDCT 079/2016/A2] ; Science and Technology Development Fund of Macao SAR[0123/2018/A3] ; University of Macau Fund[MYRG2018-00111-FST]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000611843900001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province, China ; Science and Technology Development Fund of Macao SAR ; University of Macau Fund
源URL[http://ir.ia.ac.cn/handle/173211/43219]  
专题类脑智能研究中心_微观重建与智能分析
通讯作者Zhang, Liming
作者单位1.Taiyuan Univ Technol, Coll Data Sci, Taiyuan 030024, Shanxi, Peoples R China
2.Univ Macau, Fac Sci & Technol, Taipa, Macao, Peoples R China
3.Macau Univ Sci & Technol, Macao Ctr Math Sci, Ave Wai Long, Taipa, Macao, Peoples R China
4.Beijing Univ Technol, Data Min Lab, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Yongfei,Zhang, Liming,Qian, Tao,et al. Content-adaptive image encryption with partial unwinding decomposition[J]. SIGNAL PROCESSING,2021,181:14.
APA Wu, Yongfei,Zhang, Liming,Qian, Tao,Liu, Xilin,&Xie, Qiwei.(2021).Content-adaptive image encryption with partial unwinding decomposition.SIGNAL PROCESSING,181,14.
MLA Wu, Yongfei,et al."Content-adaptive image encryption with partial unwinding decomposition".SIGNAL PROCESSING 181(2021):14.

入库方式： OAI收割

来源：自动化研究所

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