• Corpus ID: 231861497

Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network Experimentation

@inproceedings{Jansen2021OnceIN,
  title={Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network Experimentation},
  author={Rob Jansen and Justin Tracey and Ian Goldberg},
  booktitle={USENIX Security Symposium},
  year={2021}
}
Tor is a popular low-latency anonymous communication system that focuses on usability and performance: a faster network will attract more users, which in turn will improve the anonymity of everyone using the system. The standard practice for previous research attempting to enhance Tor performance is to draw conclusions from the observed results of a single simulation for standard Tor and for each research variant. But because the simulations are run in sampled Tor networks, it is possible that… 
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