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LTE网络用户行为分析系统的设计与实现
引用本文:席兵,骆云龙,王建.LTE网络用户行为分析系统的设计与实现[J].重庆邮电大学学报(自然科学版),2015,27(2):208-212.
作者姓名:席兵  骆云龙  王建
作者单位:重庆邮电大学通信网与测试技术重点实验室,重庆,400065
基金项目:国家高技术研究发展计划(“863”计划)(2014AA01A706);2013年重庆市高校创新团队建设计划项目(KJTD201312)
摘    要:针对传统信令监测系统数据业务识别度低、统计能力不强等问题,在传统的监测系统基础上,提出了一种采用网络爬虫(web crawler)技术和深度包检测(deep packet inspection,DPI)技术的LTE网络用户行为分析系统.该系统对应用层业务内容进行精细化识别,进一步分析了移动互联网的用户行为特征.经现网测试验证,设计的用户行为分析系统达到了预期的效果,对移动互联网用户行为分析、精准化营销领域具有推广意义.

关 键 词:LTE网络  用户行为  网络爬虫  深度包检测
收稿时间:2014/3/12 0:00:00
修稿时间:3/3/2015 12:00:00 AM

Design and implementation of user behavior analysis system in LTE network
XI Bing,LUO Yunlong and WANG Jian.Design and implementation of user behavior analysis system in LTE network[J].Journal of Chongqing University of Posts and Telecommunications,2015,27(2):208-212.
Authors:XI Bing  LUO Yunlong and WANG Jian
Institution:Key Laboratory on Communication Network and Testing Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China,Key Laboratory on Communication Network and Testing Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China and Key Laboratory on Communication Network and Testing Technology,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China
Abstract:There are weak identification of data services and poor statistical ability in traditional monitoring system. To solve this problem, the user behavior analysis system in LTE network is proposed by using the technology of web crawler and deep packet inspection (DPI) in this paper. The system was designed to refine identification of service content of the application layer. And the users' behavioral characteristics of mobile Internet is analyzed in further. Through testing in current network environments, the result shows that the user behavior analysis system proposed in this paper works well as what is expected. The system is of great importance for user behavior analysis and the promotion of precision marketing area.
Keywords:LTE network  user behavior  web crawler  deep packet inspection
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