摘要
在大数据的分析中,当前方法对信息进行加密存储时,主要以线性微分求解对混合加密存储方法进行优化。在对密钥进行扩展的过程中,信息链路加密存储的信息出现非线性的突变,造成加密存储的信息安全性较低。鉴于此,提出一种基于超带宽的用户信息多重加密存储方法。利用混沌映射给用户信息增加反破解的保护外壳,以达到大数据分析下用户信息多重加密的目的,克服了当前方法存在的弊端,降低了加密信息存储产生的非线性突变。利用超带宽多重加密存储技术对用户信息进行多重加密存储,有效地增强了加密存储信息的抗攻击性,提高了用户信息多重加密存储的安全性,完成了对基于大数据分析的用户信息多重加密存储技术的研究。实验结果表明,利用该方法进行信息的多重加密存储提高了信息的安全性。
In the analysis of big data,when information is encrypted and stored,the method of linear differential solution is used to optimize the mixed encrypted storage method.In the process of the key expansion,information encrypted and stored in information link has a nonlinear mutation,resulting in low security of the encrypted storage.This paper proposed a multiple encrypted storage method for user information based on ultra bandwidth.Chaos mapping is used to increase the protection shell of user information to achieve the purpose of multiple encryption of user information under big data analysis.The disadvantages of current methods are overcomed,and the nonlinear mutation of encrypted information storage is reduced.Multiple encrypted storage is implemented for user information by using super bandwidth multiple encryption storage technology,which effectively enhances the anti-attack of the encrypted storage information,improves the security of the multiple encrypted storage of the user information,and completes the research on multiple encrypted storage technology of the user information based on big data analysis.The experimental results show that the security of information is improved by using this method to store multiple encrypted information.
作者
陈贵平
王子牛
CHEN Gui-ping;WANG Zi-niu(School of Big Data and Computer Science,Guizhou Normal University,Guiyang 550001,China;College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China)
出处
《计算机科学》
CSCD
北大核心
2018年第7期150-153,共4页
Computer Science
基金
2016年贵州省科学技术协会研究项目:基于大数据技术的黔归人才现状分析与研究(201602号)
贵州省教育厅高等学校人文社会科学研究项目:贵州高校师范类毕业生教师专业发展状况研究(13GH052号)资助
关键词
大数据分析
用户信息
加密存储技术
混沌参数调制映射
Big data analysis
User information
Encrypted storage technology
Chaos parameter modulation mapping