Image encryption using high-dimension chaotic system
Sun Fu-Yan(孙福艳)a)†, Liu Shu-Tang(刘树堂)a), and Lü Zong-Wang(吕宗旺)b)
a College of Control Science and Engineering, Shandong University, Jinan 250061, China; b Corporate Engineering Department, Johnson Electric (ShenZhen) Co. Ltd, ShenZhen 518125, China
Abstract In recent years, the chaos based cryptographic algorithms have suggested some new and efficient ways to develop secure image encryption techniques. This paper proposes a new approach for image encryption based on a high-dimensional chaotic map. The new scheme employs the Cat map to shuffle the positions, then to confuse the relationship between the cipher-image and the plain-image using the high-dimensional Lorenz chaotic map preprocessed. The results of experimental, statistical analysis and key space analysis show that the proposed image encryption scheme provides an efficient and secure way for real-time image encryption and transmission.
Accepted manuscript online:
PACS:
05.45.-a
(Nonlinear dynamics and chaos)
Fund: Project
supported by the National Natural Science Foundation of China
(Grant No 60472112) and the Foundation for the author of National
Excellent Doctoral Dissertation of China (Grant No 200444).
Cite this article:
Sun Fu-Yan(孙福艳), Liu Shu-Tang(刘树堂), and Lü Zong-Wang(吕宗旺) Image encryption using high-dimension chaotic system 2007 Chinese Physics 16 3616
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.