Characterizing home network traffic: an inside view

被引:13
|
作者
Xu, Kuai [1 ]
Wang, Feng [1 ]
Gu, Lin [2 ]
Gao, Jianhua [3 ]
Jin, Yaohui [4 ]
机构
[1] Arizona State Univ, Phoenix, AZ 85004 USA
[2] Hong Kong Univ Sci & Technol, Kowloon, Hong Kong, Peoples R China
[3] Wuhan Univ, Wuhan 430072, Peoples R China
[4] Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Network, Shanghai 200030, Peoples R China
关键词
Home networks; Behavior monitoring; Unwanted traffic;
D O I
10.1007/s00779-013-0711-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid spread of residential broadband connections and Internet-capable consumer devices in home networks has changed the landscape of Internet traffic. To gain a deep understanding of Internet traffic for home networks, this paper develops a traffic monitoring platform that collects and analyzes home network traffic via programmable home routers and traffic profiling servers. Using traffic data captured from real home networks, we present traffic characteristics in home networks and then apply principal component analysis to uncover temporal correlations among application ports. In light of prevalent unwanted traffic on the Internet, we characterize the intensity, sources, and port diversity of unwanted traffic toward home networks. To the best of our knowledge, this paper is the first study to characterize network traffic of Internet-capable devices from inside home network.
引用
收藏
页码:967 / 975
页数:9
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