A case study on measuring statistical data in the Tor anonymity network

Abstract

The Tor network is one of the largest deployed anonymity networks, consisting of 1500+ volunteer-run relays and probably hundreds of thousands of clients connecting every day. Its large user-base has made it attractive for researchers to analyze usage of a real deployed anonymity network. The recent growth of the network has also led to performance problems, as well as attempts by some governments to block access to the Tor network. Investigating these performance problems and learning about network blocking is best done by measuring usage data of the Tor network. However, analyzing a live anonymity system must be performed with great care, so that the users' privacy is not put at risk. In this paper we present a case study of measuring two different types of sensitive data in the Tor network: countries of connecting clients, and exiting traffic by port. Based on these examples we derive general guidelines for safely measuring potentially sensitive data, both in the Tor network and in other anonymity networks. © 2010 Springer-Verlag Berlin Heidelberg.