计算机工程Issue(11)：18-25,30,9.DOI:10.3969/j.issn.1000-3428.2014.11.004
基于奇偶树型交互学习机与遗传算法的密文优化系统
Cipher Text Optimization System Based on Tree Parity Interactive Learning Machine and Genetic Algorithm
摘要
Abstract
In order to make the encryption system have the optimization performance,and solve these problems such as not achieving the global optimization and low speed of convergence,the cipher text optimization system based on the Tree Parity Interactive Learning Machine( TPILM) and discrete evolution algorithm is proposed in this paper. It defines the weight update mechanism,and couples the chaotic mappings to construct the TPILM and its mutual interference model. It introduces the cutting roulette selection mechanism into the uniform crossover operator. Meanwhile,it takes the adjacent pixels correlation coefficient and the cipher text information entropy of image block, introduces the weight theory to design the fitness function to propose a novel global discrete evolutionary algorithm for firstly applying to image encryption. At last,it produces the encryption structure of“initial optimization-cipher optimization”. Experimental results show that, compared with other encryption systems, the encryption system in this paper has the best quality and the function of global fast optimization to optimize all the iterative outcomes to make the cipher have the maximum information entropy and the lowest correlation coefficient.关键词
奇偶树型交互学习机/离散遗传算法/均匀交叉算子/轮盘赌择取机制/混沌映射/加密优化Key words
Tree Parity Interactive Learning Machine( TPILM)/discrete genetic algorithm/uniform crossover operator/roulette selection mechanism/chaotic mapping/encryption optimization分类
信息技术与安全科学引用本文复制引用
王曼韬,许丽佳,危疆树..基于奇偶树型交互学习机与遗传算法的密文优化系统[J].计算机工程,2014,(11):18-25,30,9.基金项目
四川省教育厅自然科学基金资助重点项目(12ZA277)。 （12ZA277）
