Abstract
Peer-to-peer networks are a popular platform for file sharing, but only few of them offer strong anonymity to their users. GNUnet is a new peer-to-peer network that claims to provide practical anonymous and censorship-resistant file sharing. In this paper we show that GNUnet’s performance-enhancing features can be exploited to determine the initiator of a download. We also present an efficient filter mechanism for GNUnet. Assuming that content filtering is legally enforced, GNUnet can be censored at a large scale.
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Kügler, D. (2003). An Analysis of GNUnet and the Implications for Anonymous, Censorship-Resistant Networks. In: Dingledine, R. (eds) Privacy Enhancing Technologies. PET 2003. Lecture Notes in Computer Science, vol 2760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40956-4_11
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DOI: https://doi.org/10.1007/978-3-540-40956-4_11
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