Abstract
Detecting clients with deviant behavior in the Bittorrent network is a challenging task that has not received the deserved attention. Typically, this question is seen as not ’politically’ correct, since it is associated with the controversial issue of detecting agencies that monitor Bittorrent for copyright infringement. However, deviant behavior detection and its associated blacklists might prove crucial for the well being of Bittorrent as there are other deviant entities in Bittorrent besides monitors. Our goal is to provide some initial heuristics that can be used to automatically detect deviant clients. We analyze for 45 days the top 600 torrents of Pirate Bay. We show that the empirical observation of Bittorrent clients can be used to detect deviant behavior, and consequently, it is possible to automatically build dynamic blacklists.
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© 2009 Springer-Verlag Berlin Heidelberg
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Siganos, G., Pujol, J.M., Rodriguez, P. (2009). Monitoring the Bittorrent Monitors: A Bird’s Eye View. In: Moon, S.B., Teixeira, R., Uhlig, S. (eds) Passive and Active Network Measurement. PAM 2009. Lecture Notes in Computer Science, vol 5448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00975-4_18
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DOI: https://doi.org/10.1007/978-3-642-00975-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00974-7
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