CAJ | 학술논문

基于超混沌系统提出一种自适应图像加密算法。先对超混沌信号进行改造处理，并根据明文像素信息对序列进行变换，使得密钥序列对明文图像敏感；然后以前一个加密像素为基础，通过非线性运算产生中间密钥自适应加密后一个像素，直至所有像素加密完成；最后分别从统计特性、抗差分攻击、密钥敏感及密钥空间和执行效率对算法进行仿真分析，结果显示该算法具有安全性高、运行效率高等特点。
기우초혼돈계통제출일충자괄응도상가밀산법。선대초혼돈신호진행개조처리，병근거명문상소신식대서렬진행변환，사득밀약서렬대명문도상민감；연후이전일개가밀상소위기출，통과비선성운산산생중간밀약자괄응가밀후일개상소，직지소유상소가밀완성；최후분별종통계특성、항차분공격、밀약민감급밀약공간화집행효솔대산법진행방진분석，결과현시해산법구유안전성고、운행효솔고등특점。
This paper presents a self-adaptive image encryption algorithm based on hyper-chaotic system.Firstly, the hyper-cha-otic sequences which are pretreated are transformed according to the plaintext pixel information that result in both key sensitivity and plaintext sensitivity;then, the last encrypted pixel is used to produce intermediate key through nonlinear operation to encrypt the next pixel adaptively , until all pixels are encrypted completely;finally, the simulation analyses are performed using statistical property , anti-differential attacks , key sensitivity and key space and algorithm efficiency .Experimental results show that the algo-rithm is secure and efficient .