Open AccessColor image encryption algorithm based on DNA code and alternating quantum random walk
Author(s) -
Yinuo Wang,
Zhaoyang Song,
Yun Ma,
Nan Hua,
Hongyang Ma
Publication year - 2021
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.70.20211255
Subject(s) - encryption , algorithm , computer science , multiple encryption , probabilistic encryption , theoretical computer science , key (lock) , link encryption , code (set theory) , encoding (memory) , cryptography , 40 bit encryption , pixel , histogram , image (mathematics) , computer vision , artificial intelligence , computer network , computer security , set (abstract data type) , programming language
In recent years, image encryption technology has attracted much attention. As people pay more attention to communication privacy and network security, the requirements for information encryption technology are more stringent. As one of the information carriers, images are valuable for carrying the effectiveness and vividness of the information. This paper proposes a color image encryption algorithm based on DNA encoding and alternating quantum random walk. Quantum random walk is an excellent cryptographic tool that participates in all parts of the algorithm process, and DNA encoding is used as the core encryption method to complete the algorithm. This article describes the encryption and decryption process in detail, and conducts simulation experiments to verify and analyze the results of the proposed algorithm. In the simulation stage, we design the simulation key parameters, encode the color image encryption and decryption experiments, and carry out related analysis. The experimental results show that the color image encryption algorithm proposed in this paper can perform safe and effective color image encryption. The correlation analysis shows that the image histogram after encryption is stable, the pixel correlation coefficient approaches 0, and the key space is \begin{document}${2^{ 128 }} $\end{document}, the three-channel information entropy reaches more than 7.997, which can resist statistical attacks, brute force attacks and other attack methods. In addition, DNA coding has unique biological characteristics in addition to the novel coding and calculation methods, which provide new ideas and directions for cryptographic research.