Title :
The chaotic feature of trigonometric function and its use for image encryption
Author :
Chenghang Yu ; Baojun Zhang ; Xiang Ruan
Author_Institution :
T&R Dept. of Network Eng., Zhejiang Univ. of Media & Commun., Hangzhou, China
Abstract :
The encryption of images is quite different from that of the texts due to the bulk data capacity and high redundancy of images. Traditional methods are difficult to handle the image encryption because of their small space of pseudo random sequence. At present, the chaotic maps have been widely used in image encryption for their extreme sensitivity to tiny changes of initial conditions. The chaos based algorithms have suggested a new and efficient way to deal with the problem of fast and highly secure image encryption. In this paper, we analyze the chaotic features of traditional trigonometric function and propose a new chaotic image encryption algorithm. The algorithm uses a chaotic map base on trigonometric function as a mask to confuse the plain-image and employs several different types of operations to shuffle the image pixels according to the outcome of another chaotic map. Thereby it significantly increases the resistance to statistical and differential attacks. The results of experiment, statistical analysis, correlation coefficient analysis and key sensitivity tests show that the algorithm is of great security and practicability.
Keywords :
chaos; computational geometry; correlation methods; cryptography; functions; image coding; image resolution; random sequences; statistical analysis; bulk data capacity; chaotic image encryption algorithm; chaotic maps; correlation coefficient analysis; differential attacks; high image redundancy; image pixels; key sensitivity tests; pseudo random sequence; statistical analysis; statistical attacks; trigonometric function chaotic feature; Algorithm design and analysis; Chaotic communication; Correlation; Encryption; Histograms; Chaos; Image Encryption; Logistic Map; Pseudo Random Sequence; Trigonometric Function;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019527