摘要
为了提高移动办公数据的安全性,降低办公数据在传输和存储过程中被修改和窃取的风险,提出基于混沌序列的移动办公数据多层加密方法。结合独立分量分析方法和经验模态分解方法,对移动办公数据预处理,消除移动办公数据中存在的噪声;通过建立混沌序列并引入主成分分析方法,对混沌序列降维处理,在三维Arnold变换的基础上对移动办公数据展开置乱变化,完成移动办公数据的第一层加密。根据生成混沌Frank序列,对移动办公数据展开第二层加密处理,完成移动办公数据的多层加密。实验结果表明,所提方法的密文置乱性高,且生成密文所需时间低于130ms,加密效率高,提高了数据的安全性。
In order to improve the security of mobile office data and reduce the risk of office data being modified and stolen in the process of transmission and storage,a multi-layer encryption method for mobile office data based on chaotic sequence was proposed.Combined with the independent component analysis method and empirical mode decomposition method,the mobile office data was preprocessed to eliminate the noise from the mobile office data.After constructing the chaotic sequence and introducing principal component analysis,the dimension of chaotic sequence was reduced,and then the mobile office data was scrambled based on the 3D Arnold transform,thus completing the first layer encryption of data.According to the chaotic Frank sequence,the mobile office data was encrypted in the second layer.Finally,the multi-layer encryption of mobile office data was finished.Experimental results show that the proposed method has a high scrambling level of ciphertext,and the time required to generate ciphertext is less than 130ms.In addition,the encryption efficiency is high,and the data security is also improved.
作者
陈鑫
顾炜江
CHEN Xin;GU Wei-jiang(Nanjing Forestry University,Nanjing Jiangsu 210037,China)
出处
《计算机仿真》
北大核心
2023年第7期159-162,167,共5页
Computer Simulation
基金
国家自然基金(61871444)
江苏省教育科学“十四五”规划课题(D/2021/01/126)。
关键词
混沌序列
独立分量分析方法
经验模态分解方法
主成分分析方法
数据加密
Chaotic sequence
Independent component analysis method
Empirical mode decomposition
Principal component analysis method
Data encryption
