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Tytuł pozycji:

Image Encryption Algorithm Based on an Improved ML Neuron Model and DNA Dynamic Coding.

Tytuł:
Image Encryption Algorithm Based on an Improved ML Neuron Model and DNA Dynamic Coding.
Autorzy:
Cao Y; School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Shi P; School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Wu K; School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Li W; School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 14; Vol. 2022, pp. 4316163. Date of Electronic Publication: 2022 May 14 (Print Publication: 2022).
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: New York, NY : Hindawi Pub. Corp.
MeSH Terms:
Algorithms*
Computer Security*
Image Processing, Computer-Assisted*/methods
Computer Simulation ; DNA ; Neurons
References:
Entropy (Basel). 2018 Apr 13;20(4):. (PMID: 33265373)
Comput Biol Med. 2016 May 1;72:170-84. (PMID: 27046666)
Nature. 1976 Jun 10;261(5560):459-67. (PMID: 934280)
PLoS One. 2020 Oct 23;15(10):e0241184. (PMID: 33095816)
Biophys J. 1981 Jul;35(1):193-213. (PMID: 7260316)
Nature. 1953 Apr 25;171(4356):737-8. (PMID: 13054692)
Substance Nomenclature:
9007-49-2 (DNA)
Entry Date(s):
Date Created: 20220524 Date Completed: 20220525 Latest Revision: 20220716
Update Code:
20240105
PubMed Central ID:
PMC9124097
DOI:
10.1155/2022/4316163
PMID:
35607463
Czasopismo naukowe
Aiming at the problems of small key space, low security, and low algorithm complexity in a low-dimensional chaotic system encryption algorithm, an image encryption algorithm based on the ML neuron model and DNA dynamic coding is proposed. The algorithm first performs block processing on the R, G, and B components of the plaintext image to obtain three matrices, and then constructs a random matrix with the same size as the image components through logistic mapping and performs DNA encoding, DNA operation, and DNA decoding on the two parts. Second, it performs determinant permutation on the matrix by two different chaotic sequences obtained by logistic mapping iteration. Finally, it merges the block and image components to complete the image encryption and obtain the ciphertext image. Wherein, DNA encoding, DNA operation, and DNA decoding methods are all randomly and dynamically determined by the chaotic sequence generated by the ML neuron chaotic system. According to simulation results and performance analysis, the algorithm has a larger key space, can effectively resist various statistical and differential attacks, and has better security and higher complexity.
Competing Interests: The authors declare that they have no conflicts of interest.
(Copyright © 2022 Yan Cao et al.)
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