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David Megias , David Megias is with the Estudis d’Inform`atica Multim`edia i Telecomunicaci ´o, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Rambla del Poblenou, 156, 08018 Barcelona, Catalonia, Spain. (e-mail: dmegias@uoc.edu).
ABSTRACT
Anonymous fingerprint has been suggested as a convenient solution for the legal distribution of multimedia contents with copyright protection whilst preserving the privacy of buyers, whose identities are only revealed in case of illegal re-distribution. However, most of the existing anonymous fingerprinting protocols are impractical for two main reasons: 1) the use of complex time-consuming protocols and/or homomorphic encryption of the content, and 2) a unicast approach for distribution that does not scale for a large number of buyers. This paper stems from a previous proposal of recombined fingerprints which overcomes some of these drawbacks. However, the recombined fingerprint approach requires a complex graph search for traitor tracing, which needs the participation of other buyers, and honest proxies in its P2P distribution scenario. This paper focuses on removing these disadvantages resulting in an efficient, scalable, privacy-preserving and P2P-based fingerprinting system.
CITATION
David Megias, "Improved Privacy-Preserving P2P Multimedia Distribution Based on Recombined Fingerprints", IEEE Transactions on Dependable and Secure Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TDSC.2014.2320712
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