摘要
为解决隐私信息加密样本迭代能力有限的问题,使加密结果更加逼近目标密码文本,研究了基于大数据的增量式隐私信息迭代加密方法。定义大数据样本扩容条件,联合熵增量求解结果确定隐私信息的复杂度水平,实现面向大数据的增量式隐私信息特征选取。根据隐私数据序列表达式计算本征迭代向量与诺夫加密指数,完成基于大数据的增量式隐私信息迭代加密算法的设计。对比实验结果表明,上述算法作用下,加密后隐私信息样本迭代参数最大值超过了11.0,能够大幅提高数据信息的迭代能力,从而使加密结果无限逼近目标密码文本。
In order to solve the problem of limited iterative ability of privacy information encryption samples and make the encryption results more close to the target cipher text,an incremental privacy information iterative encryption method based on big data is studied.Define large data sample expansion conditions,combine the entropy increment solution results,determine the complexity level of privacy information,and achieve incremental privacy information feature selection for big data.According to the expression of privacy data sequence,calculate the eigen iteration vector and the Nov encryption index,and complete the design of incremental privacy information iterative encryption algorithm based on big data.The comparison experiment results show that the maximum iterative parameters of privacy information samples after encryption exceed 11.0 under the action of the above algorithm,which can greatly promote the iterative ability of data information,so that the encryption results can approach the target password text infinitely.
作者
刘亦哲
包森成
方国强
LIU Yizhe;BAO Sencheng;FANG Guoqiang(China Mobile Communications Group Zhejiang Co.,Ltd.,Hangzhou 310020,China)
出处
《电子设计工程》
2024年第13期154-157,共4页
Electronic Design Engineering
关键词
大数据
隐私信息
迭代加密
样本扩容
熵增量
big data
privacy information
iterative encryption
sample expansion
entropy increment
