Privacy-preserving Anomaly Detection in Tor
نویسندگان
چکیده
This extended abstract presents our vision of PrivEy, a distributed data collection and anomaly detection framework for the Tor network. PrivEy builds on the general framework of PrivEx (CCS 2014), a system for privately collecting statistics about traffic egressing the Tor network; however, PrivEy extends PrivEx in several important respects: (i) it supports the collection of a wider array of data from a wider array of vantage points within the Tor network, and (ii) beyond merely producing differentially private summary statistics about the collected data, it can also use those data to continuously train ensemble classifiers with which to recognize anomalous patterns indicative of ongoing attacks against the Tor network and its users.
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