摘要
隐私数据的自动加密在提高数据安全方面具有重要意义。针对当前方法隐私数据自动加密过程安全性差的问题,提出基于改进保序的隐私数据自动加密方法。为了保证隐私数据自动加密的安全性,分析隐私数据属性值的离散和连续情况,计算隐私数据的均值和方差,得到隐私数据的分类结果,并用十进制浮点型数值来表示数据的精纬度,可以方便计算和比较隐私数据的大小,将隐私数据做桶划分,计算隐私数据的期望值,并利用加密函数分析密文空间中隐私数据的加密过程,得到隐私数据密文的宽度,根据隐私数据的数量阈值等条件计算密度函数,最终利用密钥实现在线招投标系统中隐私数据的自动加密。实验结果表明,提出方法在对隐私数据自动加密过程中具有较高的安全性,并且加密时间短,具有较好的性能。
Due to poor security of current method in the process of automatic encryption of private data, this paper puts forward an automatic encryption method of private data based on improved order preservation. In order to ensure the security of automatic encryption of private data, the discrete and continuous cases of private data attribute value were analyzed. The mean and variance of private data were calculated and the classification result of private data was obtained. On this basis, the decimal floating-point numerical value was used to represent the longitude and latitude of data. It was easy to calculate and compare privacy data. After dividing the private data into buckets, the expected value of private data was calculated. Meanwhile, the encryption function was used to analyze the encryption process of private data in the cipher text space, so as to obtain the width of private data cipher text. According to the threshold of number of privacy data, the density function was calculated. Finally, the key was used to realize the automatic encryption for the privacy data in online bidding system. Simulation results show that the proposed method has higher security in the process of automatic encryption of private data. The encryption time is short.
作者
殷明
YIN Ming(State Assets Management Office,Suzhou University of Science and Technology,Jiangsu Suzhou 215009,China)
出处
《计算机仿真》
北大核心
2020年第5期128-131,212,共5页
Computer Simulation
关键词
在线招投标系统
隐私数据
自动
加密
Online bidding system
Privacy data
Automatic
Encryption