Cartoon Image Encryption Algorithm by a Fractional-Order Memristive Hyperchaos
Joint Authors
Zhang, Li-Tao
Wang, Shu-Ying
Zhao, Jian-Feng
Wang, Xiao-yan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Based on the Adomian decomposition method and Lyapunov stability theory, this paper constructs a fractional-order memristive hyperchaos.
Then, the 0–1 test analysis is applied to detect random nature of chaotic sequences exhibited by the fractional-order systems.
Comparing with the corresponding integer-order hyperchaotic system, the fractional-order hyperchaos possesses higher complexity.
Finally, an image encryption algorithm is proposed based on the fractional-order memristive hyperchaos.
Security and performance analysis indicates that the proposed chaos-based image encryption algorithm is highly resistant to statistical attacks.
American Psychological Association (APA)
Wang, Shu-Ying& Zhao, Jian-Feng& Wang, Xiao-yan& Zhang, Li-Tao. 2019. Cartoon Image Encryption Algorithm by a Fractional-Order Memristive Hyperchaos. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1173751
Modern Language Association (MLA)
Wang, Shu-Ying…[et al.]. Cartoon Image Encryption Algorithm by a Fractional-Order Memristive Hyperchaos. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1173751
American Medical Association (AMA)
Wang, Shu-Ying& Zhao, Jian-Feng& Wang, Xiao-yan& Zhang, Li-Tao. Cartoon Image Encryption Algorithm by a Fractional-Order Memristive Hyperchaos. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1173751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173751