Abstract
Recently, identification of real-time traffic online is a key technology to achieve different service to real-time and bulk applications. Previously it is easy to identify real-time by checking the protocol/port number in IP header, however, it becomes more difficult due to the existence of streaming traffic over TCP connection, overlay networks such as P2P and VPN. In this paper, we propose a new identification method for real-time traffic based on not checking the protocol number, but analyzing the statistical characteristics of packet arrivals. Our approach is fast, accurate and lightweight compared to conventional techniques.
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References
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© 2007 Springer Berlin Heidelberg
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Tai, M., Ata, S., Oka, I. (2007). Fast, Accurate, and Lightweight Real-Time Traffic Identification Method Based on Flow Statistics. In: Uhlig, S., Papagiannaki, K., Bonaventure, O. (eds) Passive and Active Network Measurement. PAM 2007. Lecture Notes in Computer Science, vol 4427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71617-4_30
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DOI: https://doi.org/10.1007/978-3-540-71617-4_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71616-7
Online ISBN: 978-3-540-71617-4
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