New paper on poisioning and pollution of P2P networks

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## New paper on poisioning and pollution of P2P networks ##

http://groups.sims.berkeley.edu/pam-p2p/index.php?p=40

[Nicolas Christin][1] has just put the finishing touches on a new
paper authored with [Andreas Weigend][2] and SIMS professor [John
Chuang][3], ["Content Availability, Pollution and Poisoning in File
Sharing Peer-to-Peer Networks"][4] that will be presented at [ACM's
Conference on Electronic Commerce][5] this summer in Vancouver,
Canada. Here is the abstract:

[1]: http://www.sims.berkeley.edu/~christin/
[2]: http://www.weigend.com/
[3]: http://www.sims.berkeley.edu/~chuang/
[4]: http://p2pecon.berkeley.edu/pub/CWC-EC05.pdf
[5]: http://www.acm.org/sigs/sigecom/ec05/

 > Copyright holders have been investigating technological solutions to
   prevent distribution of copyrighted materials in peer-to-peer file
   sharing networks. A particularly popular technique consists in
   poisoning a specific item (movie, song, or software title) by
   injecting a massive number of decoys into the peer-to-peer network,
   to reduce the availability of the targeted item. In addition to
   poisoning, pollution, that is, the accidental injection of unusable
   copies of files in the network, also decreases content
   availability. In this paper, we attempt to provide a first step
   toward understanding the differences between pollution and
   poisoning, and their respective impact on content availability in
   peer-to-peer file sharing networks. To that effect, we conduct a
   measurement study of content availability in the four most popular
   peer-to-peer file sharing networks, in the absence of poisoning, and
   then simulate different poisoning strategies on the measured data to
   evaluate their potential impact. We exhibit a strong correlation
   between content availability and topological properties of the
   underlying peer-to-peer network, and show that the injection of a
   small number of decoys can seriously impact the users perception of
   content availability.

This is a really interesting paper. They measure a number of P2P
network metrics - query response time, temporal stability, spatial
stability and download completion time - using a widely distributed
set of PCs on the [PlanetLab network][6] running scripted P2P
software. This is a clever way to simultaneously study the
characteristics of different P2P networks (notably eDonkey,
eDonky/Overnet, FastTrack and Gnutella) as well as quantitatively
illustrate differences in the underlying network algoritms. The really
nifty part of this paper, in my opinion, involves measuring the
effects of various content poisoning and pollution strategies. Their
results show that fairly simple strategies are fairly simply defeated
while more sophisticated and hybrid strategies aimed at
mucking-up-the-net are difficult to detect and thwart.

[6]: http://www.planet-lab.org/

-- 
Joseph Lorenzo Hall
UC Berkeley, SIMS PhD Student
http://pobox.com/~joehall/
blog: http://pobox.com/~joehall/nqb2/

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