Abstract
Freenet, a fully decentralized publication system designed for censorship-resistant communication, exhibits long delays and low success rates for finding and retrieving content. In order to improve its performance, an in-depth understanding of the deployed system is required. Therefore, we performed an extensive measurement study accompanied by a code analysis to identify bottlenecks of the existing algorithms and obtained a realistic user model for the improvement and evaluation of new algorithms. Our results show that 1) the current topology control mechanisms are suboptimal for routing and 2) Freenet is used by several tens of thousands of users who exhibit uncharacteristically long online times in comparison to other P2P systems. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Roos, S., Schiller, B., Hacker, S., & Strufe, T. (2014). Measuring Freenet in the wild: Censorship-resilience under observation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8555 LNCS, pp. 263–282). Springer Verlag. https://doi.org/10.1007/978-3-319-08506-7_14
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