Image Encryption Based on High-Dimensional Manifold Computing and Block Dividing Algorithm
Author
Source
International Journal of Optics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The image encryption schemes developing more sensitive and more chaotic maps are used as a key sequence generator, such as cascade chaotic maps and high-dimension maps.
High-dimension chaotic maps can generate sequences with little correlation after hundred times of iteration.
In fact, the sequence is just a flow of the manifold of the chaotic system.
A fast way to select sensitive flows of the dynamic systems is introduced in the paper.
Combining with the divided blocks diffusion algorithm, the novel scheme yields the cipher image more randomly.
Experimental results show that the sensitive flows of the high-dimension system can generate a series with better ergodicity and less correlation compared with the common flows of the same system.
The encryption efficiency is enhanced by choosing the sensitive flows of the high-dimension system.
The analysis proved that the novel image encryption scheme can resist all common kinds of attacks.
American Psychological Association (APA)
Jia, Meng. 2020. Image Encryption Based on High-Dimensional Manifold Computing and Block Dividing Algorithm. International Journal of Optics،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1172990
Modern Language Association (MLA)
Jia, Meng. Image Encryption Based on High-Dimensional Manifold Computing and Block Dividing Algorithm. International Journal of Optics No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1172990
American Medical Association (AMA)
Jia, Meng. Image Encryption Based on High-Dimensional Manifold Computing and Block Dividing Algorithm. International Journal of Optics. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1172990
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172990