面向多元时序大数据的用户访问控制模型构建  

Construction of User Access Control Model for Multivariate Time Series Big

作　　者：高鹏[1] 朱晓丽[2] Data GAO Peng;ZHU Xiao-li(School of Computer and Art,Anhui Industrial Economics Vocational and Technical College,Hefei 230051,Anhui;Intelligent Information College,Wanbo Vocational College of Science and Technology,Huainan 232251,Anhui)

机构地区：[1]安徽工业经济职业技术学院计算机与艺术学院,安徽合肥230051 [2]万博科技职业学院智能信息学院,安徽淮南232251

出　　处：《陇东学院学报》2025年第2期27-31,共5页Journal of Longdong University

基　　金：安徽省教育厅科学研究项目“基于Tableau的高校学生学情可视化分析研究”(2022AH053132);安徽省职业与成人教育学会教育教学研究项目“基于SPOC翻转课堂的《Linux》课程教学模式研究”(Azcj2023092);安徽省教育厅教学研究项目“基于Tableau的《网络操作系统》学情可视化分析研究”(2023jyxm1499)。

摘　　要：考虑到用户访问网络时产生的时序大数据存在差异,容易出现个人信息泄露风险,为了提高用户访问的安全性,提出面向多元时序大数据的用户访问控制模型构建研究。通过用户访问行为中多元时序大数据的分块处理,分析用户访问行为的时序组成,根据时序数据的分类情况,挖掘出用户访问行为的多元时序大数据。基于用户访问节点的合并过程,计算出用户在访问链路上的隐私度,根据用户在链路所有节点产生的隐私度,计算用户成功访问网络时的节点隐私度。利用模糊综合评价的方法,计算出用户信誉的隶属度向量,引入模糊化的方式对用户信誉的综合判定矩阵进行转换,得到用户整体信誉在不同级别下的隶属情况,当网络对用户产生一定信誉之后,构建用户访问控制模型,实现用户访问的控制。实验结果表明,该模型能够控制用户的访问行为,通过降低网络数据的泄露数量和提高授权效率,提高用户访问的安全性。Considering the differences in temporal big data generated by users accessing the network and the risk of personal information leakage,and to improve the security of users’access,a research on the construction of user access control model for multi-time series big data is proposed.Through the block processing of multivariate time series big data in user access behavior,the time series composition of user access behavior is analyzed and the multivariate time series big data of user access behavior is mined according to the classification of time series data.Based on the merging process of user access nodes,the user’s privacy on the access link is calculated,and the node privacy when the user accesses the network is calculated according to the privacy generated by the user at all nodes of the link.By using the method of fuzzy evaluation,the membership vector of user reputation is calculated,and the comprehensive judgment matrix of user reputation is transformed by introducing fuzziness,so as to obtain the membership of user’s overall reputation at different levels.When the network generates a certain reputation for users,a user access control model is constructed to realize user access control.The experimental results show that the model can control users’access behavior,and improve the security of users’access by reducing the number of network data leaks and improving the efficiency of authorization.

关 键 词：时序大数据 用户访问 数据挖掘 隐私度 访问控制 控制模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]