摘要
为提高数字媒体无线传感网络用户隐私数据的保护能力,提出基于概念格模型的用户隐私保护数据挖掘算法.首先构建数字媒体无线传感网络用户隐私保护数据的特征检测模型,通过多维信息识别对无线传感网络用户隐私保护数据进行信息重组及编码,构建线性稀疏特征编码模型,然后通过多维参数融合和信息加密控制的方法构建用户隐私保护数据的概念格模型,建立用户隐私保护数据挖掘加密协议,再通过模糊空间信息重组,实现对用户隐私保护数据的特征分布式融合和线性重构,最后采用关联谱特征检测方法实现对用户隐私保护数据挖掘和特征提取.仿真结果表明,采用该方法进行用户隐私保护数据挖掘的加密性能较好,隐私保护能力较强,提高了用户隐私保护数据挖掘的精度和可靠性水平.
In order to improve the protection ability of user privacy data of digital media wireless sensor network,Data mining algorithm for user privacy protection based on concept lattice model is proposed.Firstly,the feature detection model of user privacy protection data of digital media wireless sensor network is constructed,and the wireless sensor network is identified by multi-dimensional information.The sensor network user privacy protection data is reorganized and encoded,and a linear sparse feature coding model is constructed.Secondly,the concept lattice model of user privacy protection data is constructed through the method of multi-dimensional parameter fusion and information encryption control,and the user privacy protection data mining encryption protocol is established.Thirdly,the distributed fusion and linear reconstruction of the characteristics of user privacy protection data are realized through fuzzy spatial information reorganization.Finally,the associated spectrum feature detection method is used to realize the data mining and feature extraction of user privacy protection.The simulation results show that this method of the encryption performance for user privacy protection data mining is better,the privacy protection ability is stronger,and the accuracy and reliability of user privacy protection data mining are improved.
作者
过珺
GUO Jun(The foundation department,AnHui College of Traditional Chinese Medicine,Wuhu Anhui 241000)
出处
《宁夏师范学院学报》
2021年第7期69-75,共7页
Journal of Ningxia Normal University
基金
安徽中医药高等专科学校校级教研项目(2019jyxm20)
2020年高校优秀青年骨干教师国内访问研修项一般项目(gxgnfx2020138).
关键词
概念格模型
用户隐私保护数据
数据挖掘
信息编码
Concept lattice model
User privacy protection data
Data mining
Information coding
