Title :
Digital image encryption based on Gauss-Markov random encryption matrix
Author :
Zou, Ajin ; Xiao, Xiuchun
Author_Institution :
Inf. Coll., Guangdong Ocean Univ., Zhanjiang, China
Abstract :
To solve the problem of encryption matrix is difficult to construct, a novel encryption matrix constructing algorithm is proposed in this paper. First, a stochastic sequence is generated by Gauss-Markov process. Then, convert the elements of this sequence into integers and multiple the selected matrices with determinant D=l each other by using tensor production method. Thus, we can construct some high order encryption matrices and use it in real world application. The encryption instance and theoretical analysis show that the proposed algorithm can produce encryption matrices with high security, and have good random characteristics and autocorrelation to meet the requirement of cryptography.
Keywords :
Markov processes; cryptography; image coding; matrix algebra; tensors; Gauss-Markov random encryption matrix; autocorrelation; cryptography; digital image encryption; encryption instance; stochastic sequence; tensor production method; Correlation; Digital images; Encryption; Matrix converters; Oceans; Production; Tensile stress; Gauss-Markov Process; Random Sequence; encryption matrix; tensor production;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6003066