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A Week in the Life of the Most Popular BitTorrent Swarms
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| File | Description | Size | Format | |
|---|---|---|---|---|
| AWeekInTheLifeOfTheMostPopularBitTorrentSwarms.pdf | 323.37 kB | Adobe PDF | Download |
| Title: | A Week in the Life of the Most Popular BitTorrent Swarms | Authors: | Scanlon, Mark Hannaway, Alan Kechadi, Tahar |
Permanent link: | http://hdl.handle.net/10197/7379 | Date: | 17-Jun-2010 | Abstract: | The popularity of peer-to-peer (P2P) file distribution is consistently increasing since the late 1990’s. In 2008, P2P traffic accounted for over half of the world’s Internet traffic. P2P networks lend themselves well to the unauthorised distribution of copyrighted material due to their ease of use, the abundance of material available and the apparent anonymity awarded to the downloaders. This paper presents the results of an investigation conducted on the top 100 most popular BitTorrent swarms over the course of one week. The purpose of this investigation is to quantify the scale of unauthorised distribution of copyrighted material through the use of the BitTorrent protocol. Each IP address, which was discovered over the period of the weeklong investigation, is mapped through the use of a geolocation database, which results in the ability to determine where the participation in these swarms is prominent worldwide. | Funding Details: | Irish Research Council for Science, Engineering and Technology | Type of material: | Conference Publication | Copyright (published version): | 2010 the Authors | Keywords: | File sharing; Peer-to-peer (P2P); BitTorrent; Copyright infringement | Language: | en | Status of Item: | Peer reviewed | Is part of: | Goel, S. Proceedings of the 5th Annual Symposium on Information Assurance Academic track of the 13th Annual 2009 NYS Cyber Security Conference, 2010 | Conference Details: | The 5th Annual Symposium on Information Assurance (ASIA '10): Academic Track of 13th Annual NYS Cyber Security Conference, Albany, New York, USA, 16 - 17 June 2010 |
| Appears in Collections: | Computer Science Research Collection |
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