首页|Remote sensing image encryption algorithm utilizing 2D Logistic memristive hyperchaotic map and SHA-512

Remote sensing image encryption algorithm utilizing 2D Logistic memristive hyperchaotic map and SHA-512

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The two-dimensional Logistic memristive hyperchaotic map(2D-LMHM)and the secure hash SHA-512 are the foundations of the unique remote sensing image encryption algorithm(RS-IEA)suggested in this research.The proposed map is formed from the improved Logistic map and the memristor,which has wide phase space and hyperchaotic range and is exceptionally excellent to be utilized in specific applications.The proposed image algorithm uses the permutation-assignment-diffusion structure.Permutation generates two position matrices in a progressive manner to achieve an efficient random exchange of pixel positions,assignment is carried through on the image pixels of the permutated image to entirely remove the original image information,strengthening the relationship between permutation and diffusion,and loop diffusion in two different directions can use subtle changes of pixels to affect the whole plane.The random key and plain-image SHA-512 hash values are used to produce an additional key,which is then utilized to figure out the permutation parameters and the initial value of a chaotic map.The experimental results with the average NPCR=99.6094％(NPCR:number of pixels change rate),average UACI=33.4638％(UACI:unified average changing intensity),100％pass rate of the targets in the test set,the average correlation coefficient is 0.00075,and the local information entropy is 7.9025,which shows that the algorithm is able to defend against a variety of illegal attacks and provide more trustworthy protection than some of the existing state-of-the-art algorithms.

chaosmemristive hyperchaotic mapremote sensingSHA-512image encryptionRS-IEA

LAI Qiang、LIU Yuan、YANG Liang

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School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaJiangxi Provincial Natural Science Foundation

623660146196101920232BAB202008

2024

10.1007/s11431-023-2584-y

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子：1.056
ISSN：1674-7321
年,卷(期)：2024.67(5)