Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/40801
Title: Privacy-aware peer-to-peer content distribution using automatically recombined fingerprints
Author: Megias, David  
Domingo-Ferrer, Josep  
Citation: David Megías; Josep Domingo-Ferrer (2014) "Privacy-Aware Peer-toPeer Content Distribution Using Automatically Recombined Fingerprints". Multimedia Systems, 20 (2), 105-125. ISSN: 0942-4962.
Abstract: Multicast distribution of content is not suited to content-based electronic commerce because all buyers obtain exactly the same copy of the content, in such a way that unlawful redistributors cannot be traced. Unicast distribution has the shortcoming of requiring one connection with each buyer, but it allows the merchant to embed a different serial number in the copy obtained by each buyer, which enables redistributor tracing. Peer-to-peer (P2P) distribution is a third option which may combine some of the advantages of multicast and unicast: on the one hand, the merchant only needs unicast connections with a few seed buyers, who take over the task of further spreading the content; on the other hand, if a proper fingerprinting mechanism is used, unlawful redistributors of the P2P distributed content can still be traced. In this paper, we propose a novel fingerprinting mechanism for P2P content distribution which allows redistributor tracing, while preserving the privacy of most honest buyers and offering collusion resistance and buyer frameproofness.
Keywords: peer-to-peer content distribution
anonymous fingerprinting
collusion-resistant
recombination fingerprinting
fingerprinting
DOI: 10.1007/s00530-013-0307-3
Type: info:eu-repo/semantics/article
Issue Date: 6-Feb-2015
Publication license: https://creativecommons.org/licenses/by-nc-nd/3.0/es/
Appears in Collections:Articles cientÍfics
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