Characterizing home network traffic: An inside view

Kuai Xu, Feng Wang, Lin Gu, Jianhua Gao, Yaohui Jin

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)967-975
Number of pages9
JournalPersonal and Ubiquitous Computing
Volume18
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • Behavior monitoring
  • Home networks
  • Unwanted traffic

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research

Fingerprint Dive into the research topics of 'Characterizing home network traffic: An inside view'. Together they form a unique fingerprint.

  • Cite this