An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks

doi:10.1109/TCYB.2021.3105568

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks
	Zheng, Wenbo 2,4; Yan, Lan 1,4; Gou, Chao 3; Wang, Fei-Yue 4
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2021-11-23
页码	16
关键词	Encryption DNA Color Resists Computational modeling Image coding Complex systems Artificial image and parallel execution (ACP) method color image encryption computational experiment image division block parallel computing
ISSN号	2168-2267
DOI	10.1109/TCYB.2021.3105568
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要	Public concerns on image encryption grow significantly as the development and application of edge computing and the Internet of Things intensified recently. However, most existing image cryptosystems are not sophisticated enough to resist the two major attack strategies available currently, that is: 1) differential attacks and 2) chosen-plaintext attacks, which are famous for their destructive power, especially their capability of exploiting cryptosystems' features to recover the secret key. In this article, we propose an artificial image, computational experiment, and parallel execution (ACP)-based color image encryption approach using redundant blocks. First, a redundant blocks strategy with redundant spaces is proposed to prevent differential attacks and accelerate operating speed while guaranteeing the security of image cryptosystems. Second, real-world chaotic data (e.g., stock data) are obtained to generate artificial images and conduct computational experiments. Furthermore, artificial images are encrypted via real-world chaos, while the original images are encrypted via simulated chaos (such as Chen's hyperchaos). Finally, we design the process of parallel execution for image encryption and use DNA XOR to merge two groups of encrypted subimages to fuse the effect of the chaotic characteristics in both the real world and the simulation. The final encrypted image is realized through the recovery of redundant blocks. The ACP mechanism of color image encryption achieves the goal of improving the sophistication of chaos-based cryptosystems and resists both the differential and chosen-plaintext attacks. Experimental results and security analysis show that our approach provides not only excellent encryption but also security sufficient to prevent known attacks.
资助项目	National Key Research and Development Program of China[2018AAA0101502] ; Key Research and Development Program of Guangzhou[202007050002] ; Natural Science Foundation of China[61806198] ; Natural Science Foundation of China[61533019] ; Natural Science Foundation of China[U1811463]
WOS关键词	LYAPUNOV EXPONENTS ; BROWNIAN-MOTION ; CHAOTIC SYSTEM ; SCHEME
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000727923100003
资助机构	National Key Research and Development Program of China ; Key Research and Development Program of Guangzhou ; Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/46785]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Fei-Yue
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China 3.Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zheng, Wenbo,Yan, Lan,Gou, Chao,et al. An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:16.
APA	Zheng, Wenbo,Yan, Lan,Gou, Chao,&Wang, Fei-Yue.(2021).An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks.IEEE TRANSACTIONS ON CYBERNETICS,16.
MLA	Zheng, Wenbo,et al."An ACP-Based Parallel Approach for Color Image Encryption Using Redundant Blocks".IEEE TRANSACTIONS ON CYBERNETICS (2021):16.