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作 者:Zhenglong Chong Cong Wang Hongli Zhang Ping Ma Xinkai Li
机构地区:[1]School of Electrical Engineering,Xinjiang University,Urumqi 830017,China
出 处:《Complex System Modeling and Simulation》2024年第3期303-319,共17页复杂系统建模与仿真(英文)
基 金:supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region (Nos.2022D01C367 and 2022D01E33);Tianshan Talent Training Program (Nos.2023TSYCCX0037 and 2023TSYCQNTJ0020);National Natural Science Foundation of China (No.52267010).
摘 要:The design of a chaotic image encryption algorithm plays an essential role in enhancing information and communication security.The performance of such algorithms is intricately linked to the complexity of the chaotic sequence and the underlying encryption algorithm.To additionally enhance the complexity of hyperchaotic systems,this study presents a novel construction of a Five-Dimensional(5D)memristive hyperchaotic system through the introduction of the flux-controlled memristor model.The system's dynamic characteristics are examined through various analytical methods,including phase portraits,bifurcation diagrams,and Lyapunov exponent spectra.Accordingly,the sequences produced by the hyperchaotic system,which passed the National Institute of Standards and Technology(NIST)test,are employed to inform the creation of a novelty image encryption technique that combines hash function,Deoxyribonucleic Acid(DNA)encoding,logistic,and Two-Dimensional Hyperchaotic Map(2D-SFHM).It improves the sensitivity of key and plaintext images to image encryption,expands the algorithm key space,and increases the complexity of the encryption algorithm.Experimental findings and analysis validate the exceptional encryption capabilities of the novel algorithm.The algorithm exhibits a considerable key space 2512,and the ciphertext image demonstrates an information entropy of 7.9994,with inter-pixel correlation approaching zero,etc.,showcasing its resilience against different types of attacks on images.
关 键 词:image encryption memristive system HYPERCHAOTIC hash function deoxyribonucleic acid encoding
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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