DocumentCode
3391288
Title
Inherent Behaviors for On-line Detection of Peer-to-Peer File Sharing
Author
Bartlett, Genevieve ; Heidemann, John ; Papadopoulos, Christos
Author_Institution
ISI, USC, Los Angeles, CA
fYear
2007
fDate
11-11 May 2007
Firstpage
55
Lastpage
60
Abstract
Blind techniques to detect network applications-approaches that do not consider packet contents-are increasingly desirable because they have fewer legal and privacy concerns, and they can be robust to application changes and intentional cloaking. In this paper we identify several behaviors that are inherent to peer-to-peer (P2P) traffic and demonstrate that they can detect both BitTorrent and Gnutella hosts using only packet header and timing information. We identify three basic behaviors: failed connections, the ratio of incoming and outgoing connections, and the use of unprivileged ports. We quantify the effectiveness of our approach using two day-long traces, achieve up to an 83% true positive rate with only a 2% false positive rate. Our system is suitable for on-line use, with 75% of new P2P peers detected in less than 10 minutes of trace data.
Keywords
peer-to-peer computing; telecommunication traffic; BitTorrent host; Gnutella host; blind techniques; inherent behaviors; intentional cloaking; online detection; peer-to-peer file sharing; peer-to-peer traffic; Cryptography; Data analysis; Filtering; Law; Legal factors; Payloads; Peer to peer computing; Privacy; Protocols; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
IEEE Global Internet Symposium, 2007
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4244-1697-4
Type
conf
DOI
10.1109/GI.2007.4301431
Filename
4301431
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