基于自适应遗传算法的数字混沌加密技术研究  

Research on Digital Chaotic Encryption Technology Based on Adaptive Genetic Algorithms

作　　者：马书月[1] 王剑[2,3] 

机构地区：[1]九江学院,江西九江332005 [2]武汉理工大学,湖北武汉430000 [3]南昌工学院,江西南昌330108

出　　处：《计算机仿真》2011年第10期129-133,共5页Computer Simulation

摘　　要：研究优化网络信息安全问题。传统的加密技术存在一些安全系统可部署性较差,加密技术自身造成的安全漏洞容易导致效率下降、可靠性较低等安全和稳定性隐患,依据网络业务加密特点自适应调整交叉概率Pc和变异概率Pm值,提出了一种自适应遗传算法数字加密技术,算法基于信息混沌迭代模型,建立混沌数字映射机制,最后在加密过程中将明文分组为数据流,依据自适应遗传算法,每次加密一个数据包,其加密方式由数字混沌映射函数确定。仿真结果表明,该加密技术具有自适应优化全局、计算复杂度低和可靠性高等优点。Security for network operation and data transmission for providing reliable business have become one of the present research hotspots.The traditional encryption technology still has some shortages.Security vulnerabilities of encryption technology itself were caused by lower efficiency descend,reliability,safety hazard and stability hidden trouble.Firstly,according to network business encryption features,an adaptive adjustment was researched.Based on crossover probability Pc and mutation probability Pm,an adaptive genetic algorithm was set up.Then based on information hiding model,digital mapping mechanism was established.Finally,the plaintext in the encryption process was grouped as data flow,based on adaptive genetic algorithm,and each time a data group was encrypted.The encryption method was determined by digital chaos mapping function.Simulation experiments show that the encryption technology has the features of adaptive global optimization,low computing complexity and high reliability.

关 键 词：遗传算法 参数优化 自适应 混沌加密 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]