面向大数据的超混沌和AES混合加密方法研究

摘要

针对大数据环境中的隐私保护及数据安全问题,综合运用混沌密码和AES算法的优点,提出一种面向大数据的超混沌和AES混合加密方法.利用两个超混沌系统产生的混沌序列,设计一个超混沌分组加密方案;基于Hadoop大数据平台的MapReduce并行编程模型,设计超混沌和AES级联加密的算法.实验结果表明,算法具有密钥空间大,执行效率高,密文统计特性及密钥敏感性良好的特点.%Aiming at the problem of privacy protection and data security in big data environment,a hybrid encryption method of hyperchaos and AES for big data is proposed by using the advantages of chaotic cipher and AES algorithm.A chaotic encryption scheme is designed by using the chaotic sequences generated by two hyperchaotic systems; the hyperchaotic encryption algorithm and AES cascade encryption algorithm is designed based on the MapReduce parallel programming model of Hadoop big data platform.Experimental results show that the algorithm has the characteristics of large key space,high execution efficiency,good ciphertext statistical characteristics and good key sensitivity.