access icon free Optimising node selection probabilities in multi-hop M/D/1 queuing networks to reduce latency of Tor

The expected cell latency for multi-hop M/D/1 queuing networks, where users choose nodes randomly according to some distribution, is derived. It is shown that the resulting optimisation surface is convex, and thus gradient-based methods can be used to find the optimal node assignment probabilities. This is applied to a typical snapshot of the Tor anonymity network at 50% usage, and leads to a reduction in expected cell latency from 11.7 ms using the original method of assigning node selection probabilities to 1.3 ms. It is also shown that even if the usage is not known exactly, the proposed method still leads to an improvement.

Inspec keywords: probability; gradient methods; queueing theory

Other keywords: Tor anonymity network; optimal node assignment probabilities; multihop M/D/1 queuing networks; expected cell latency; optimisation surface; gradient based methods; optimising node selection probabilities

Subjects: Probability theory, stochastic processes, and statistics; Optimisation techniques; Optimisation; Statistics; Queueing theory; Optimisation techniques; Queueing theory

References

    1. 1)
      • 3. Dingledine, R., Murdoch, S.: ‘Performance improvements on Tor, or why Tor is slow and what we're going to do about it’. Technical Report, 2009.
    2. 2)
      • 2. Murdoch, S., Watson, R.: ‘Metrics for security and performance in low-latency anonymity systems’. Int. Symp. on Privacy Enhancing Technologies, 2008, pp. 115132.
    3. 3)
      • 5. Khinchin, A.: ‘Mathematical theory of a stationary queue’, 1932.
    4. 4)
      • 1. Dingledine, R., Mathewson, N., Syverson, P.: ‘Tor: the second-generation onion router’. USENIX Security Symp., 2004, p. 21.
    5. 5)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2014.2136
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