基于数据挖掘算法的移动电子商务群体用户访问控制模型  

Data mining algorithm based access control model for users of mobile e-commerce community

作　　者：李艳[1] LI Yan(College of Business,Shanxi University,Taiyuan 030031,China)

机构地区：[1]山西大学商务学院

出　　处：《现代电子技术》2020年第4期153-156,共4页Modern Electronics Technique

基　　金：2019年山西省软科学研究计划项目(2019041024-1)

摘　　要：基于数据挖掘算法的移动电子商务群体用户访问控制模型,挖掘群体用户在移动电子商务网络中的频繁浏览页面,提高用户访问控制精确度。先通过MFP数据挖掘算法获取用户最大向前引用序列,通过用户最大向前引用序列建立基于数据挖掘算法的用户访问控制模型,模型中的事件产生器接收最大向前引用序列数据后,事件分析处理器利用决策树的贪心算法创建序列数据决策树,通过属性选择度量算法形成多重分类器分类序列数据,响应单元在接收序列数据为正常数据时输出相应值且同意用户访问,在接收序列数据为异常数据时抑制序列数据并拒绝用户访问。实验结果表明,该模型在并发用户数量为200人时,再次登录的响应时间仅为524 ms,可有效控制移动电子商务群体用户对于网站的访问响应时间,在移动电子商务网站3 500条信息中拦截危险访问信息准确率高达95%以上。The data mining algorithm based access control model for users of mobile e⁃commerce community can mine the frequent browsing pages of community users in the mobile e⁃commerce network and improve the accuracy of user access control.The maximum forward reference sequence of users is obtained by means of the MFP data mining algorithm,by which user access control model based on the data mining algorithm is established.After the event generator in the model receives the maximum forward reference sequence data,and then sequence data decision tree is created by means of the decision tree greedy algorithm used in the event analysis processor.The multiple classifier classification sequence data is formed by means of the attribute selection measurement algorithm.The response unit outputs the corresponding values and agrees with user access when the sequence data is accepted as normal data,and restrains sequence data and refuses user access when the sequence data is accepted as abnormal data.The experimental results show that when the number of concurrent users is 200,the response time of re⁃login is only 524 ms,which can effectively control the response time to access websites of mobile e⁃commerce community users.The accuracy of intercepting dangerous access information is 95%in 3500 messages of mobile e⁃commerce websites.

关 键 词：访问控制模型 数据挖掘算法 移动电子商务 群体用户 事件产生器 多重分类器 

分 类 号：TN919-34[电子电信—通信与信息系统] TP311[电子电信—信息与通信工程]