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Tor is the most popular anonymous communication network. It has millions ofdaily users seeking privacy while browsing the internet. It has thousands ofrelays to route and anonymize the source and destinations of the users packets.To create a path, Tor authorities generate a probability distribution overrelays based on the estimates of the capacities of the relays. An incoming userwill then sample this probability distribution and choose three relays fortheir paths. The estimates are based on the bandwidths of observation probesthe authority assigns to each relay in the network. Thus, in order to achievebetter load balancing between users, accurate estimates are necessary.Unfortunately, the currently implemented estimation algorithm generateinaccurate estimates causing the network to be under utilized and itscapacities unfairly distributed between the users paths. We propose DiProber, anew relay capacity estimation algorithm. The algorithm proposes a newmeasurement scheme in Tor consisting of two probes per relay and uses maximumlikelihood to estimate their capacities. We show that the new technique worksbetter in the case of under-utilized networks where users tend to have very lowdemand on the Tor network.

DiProber: Using Dual Probing to Estimate Tor Relay Capacities in Underloaded Networks