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Digital Image Encryption Algorithm Design Based on Genetic Hyperchaos
Author
Source
International Journal of Optics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In view of the present chaotic image encryption algorithm based on scrambling (diffusion is vulnerable to choosing plaintext (ciphertext) attack in the process of pixel position scrambling), we put forward a image encryption algorithm based on genetic super chaotic system.
The algorithm, by introducing clear feedback to the process of scrambling, makes the scrambling effect related to the initial chaos sequence and the clear text itself; it has realized the image features and the organic fusion of encryption algorithm.
By introduction in the process of diffusion to encrypt plaintext feedback mechanism, it improves sensitivity of plaintext, algorithm selection plaintext, and ciphertext attack resistance.
At the same time, it also makes full use of the characteristics of image information.
Finally, experimental simulation and theoretical analysis show that our proposed algorithm can not only effectively resist plaintext (ciphertext) attack, statistical attack, and information entropy attack but also effectively improve the efficiency of image encryption, which is a relatively secure and effective way of image communication.
American Psychological Association (APA)
Wang, Jian. 2016. Digital Image Encryption Algorithm Design Based on Genetic Hyperchaos. International Journal of Optics،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1106364
Modern Language Association (MLA)
Wang, Jian. Digital Image Encryption Algorithm Design Based on Genetic Hyperchaos. International Journal of Optics No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1106364
American Medical Association (AMA)
Wang, Jian. Digital Image Encryption Algorithm Design Based on Genetic Hyperchaos. International Journal of Optics. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1106364
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106364