Image encryption algorithm based on multiple chaotic systems and improved Joseph block scrambling

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万方数据
维普

外文摘要：With the rapid development of digital information technology,images are increasingly used in various fields.To ensure the security of image data,prevent unauthorized tampering and leakage,maintain personal privacy,and protect intellectual property rights,this study proposes an innovative color image encryption algorithm.Initially,the Mersenne Twister algorithm is utilized to generate high-quality pseudo-random numbers,establishing a robust basis for subsequent operations.Subsequently,two distinct chaotic systems,the autonomous non-Hamiltonian chaotic system and the tent-logistic-cosine chaotic mapping,are employed to produce chaotic random sequences.These chaotic sequences are used to control the encoding and decoding process of the DNA,effectively scrambling the image pixels.Furthermore,the complex-ity of the encryption process is enhanced through improved Joseph block scrambling.Thorough experimental verification,research,and analysis,the average value of the information entropy test data reaches as high as 7.999.Additionally,the average value of the number of pixels change rate(NPCR)test data is 99.6101％,which closely approaches the ideal value of 99.6094％.This algorithm not only guarantees image quality but also substantially raises the difficulty of decryption.

外文关键词：

mersenne twister algorithmDNA coding confusionpixel XOR operationimproved Joseph block scrambling

作者：

牟定康、董玉民

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作者单位：

College of Computer and Information Science,Chongqing Normal University,Chongqing 400047,China

基金：

Open Fund of Advanced Cryptography and System Security Key Laboratory of Sichuan ProvinceNatural science Foundation of ChongqingNational Natural Science Foundation of China

项目编号：

SKLACSS-202208CSTB2023NSCQ-LZX013961772295

出版年：

2024

DOI：

10.1088/1674-1056/ad6257

中国物理B(英文版)

中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI

影响因子：0.995

ISSN：1674-1056

年,卷(期)：2024.33(10)