计算机技术与发展2018，Vol.28Issue(3)：132-136,5.DOI:10.3969/j.issn.1673-629X.2018.03.028
基于移动终端的无线局域网用户行为研究
Research on User Behavior of WLAN Based on Mobile Terminals
摘要
Abstract
There are many hidden dangers of privacy leakage due to the openness and special radiation of wireless communication chan-nel.The communication data from WLAN is restored in the public environment,and the wireless network users behavior is fully exploited based on the mainstream terminal application in current market.After modeling the users and their behavior,we adopt the non-supervised clustering algorithm based on weighed similarity for further study of the social characteristics and potential interest trend of users.We aim to clarify the user's real demand and increase the direct relation between users,in order to design the agreement and service which are more close to users,and optimize the wireless network mechanism.Experiment shows that this method can effectively analyze user's be-havior and cluster user groups,which is help improve the user experience,prevent user's privacy disclosure and customize personalized web service.关键词
无线局域网/用户行为分析/聚类/隐私分析/机器学习Key words
WLAN/user behavior analysis/cluster/privacy analysis/machine learning分类
信息技术与安全科学引用本文复制引用
商正仪,梁羽燕,薛建宇,陈伟..基于移动终端的无线局域网用户行为研究[J].计算机技术与发展,2018,28(3):132-136,5.基金项目
国家自然科学基金(61202353) （61202353）
大学生创新创业训练计划项目(SZD2016008) （SZD2016008）
