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Characterizing Home Network Traffic: An Inside View

  • Conference paper
Wireless Algorithms, Systems, and Applications (WASA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

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. To the best of our knowledge, this paper is the first study to characterize network traffic of Internet-capable devices from inside home networks.

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© 2012 Springer-Verlag Berlin Heidelberg

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Xu, K., Wang, F., Gu, L., Gao, J., Jin, Y. (2012). Characterizing Home Network Traffic: An Inside View. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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