AN IMPROVED IMAGE ENCRYPTION ALGORITHM BASED ON CHAOTIC MAPS
Chaos theory provides a new approach to image encryption technology and the quantified chaotic binary sequence has great influence on the efficiency and security of an encryption system. In this paper, an improved stochastic middle multi-bits quantification algorithm based on Logistic map is proposed to enhance the security of a chaotic image encryption system under precision restricted condition through enlarging the key space and strengthening the anti reverse iteration ability. The balance and correlation properties of the generated sequence are analyzed. The sequence is proved to be a binary Bernoulli stochastic sequence and the distribution of the differences between the amounts of 0 and 1 is analyzed. The side lobes of auto and cross correlation are proved to obey normal distribution N (0, 1/N). The experimental results indicate that the algorithm is more efficient and secure than other algorithms.
Image Encryption Chaotic Maps Correlation
CHONG FU ZHENCHUAN ZHANG ZHILIANG ZHU XINGWEI WANG
School of Information Science and Engineering, Northeastern University Shenyang 110004, China
国际会议
开封
英文
475-482
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）