TY - GEN
T1 - DefenestraTor
T2 - Throwing out windows in Tor
AU - AlSabah, Mashael
AU - Bauer, Kevin
AU - Goldberg, Ian
AU - Grunwald, Dirk
AU - McCoy, Damon
AU - Savage, Stefan
AU - Voelker, Geoffrey M.
PY - 2011
Y1 - 2011
N2 - Tor is one of the most widely used privacy enhancing technologies for achieving online anonymity and resisting censorship. While conventional wisdom dictates that the level of anonymity offered by Tor increases as its user base grows, the most significant obstacle to Tor adoption continues to be its slow performance. We seek to enhance Tor's performance by offering techniques to control congestion and improve flow control, thereby reducing unnecessary delays. To reduce congestion, we first evaluate small fixed-size circuit windows and a dynamic circuit window that adaptively re-sizes in response to perceived congestion. While these solutions improve web page response times and require modification only to exit routers, they generally offer poor flow control and slower downloads relative to Tor's current design. To improve flow control while reducing congestion, we implement N23, an ATM-style per-link algorithm that allows Tor routers to explicitly cap their queue lengths and signal congestion via back-pressure. Our results show that N23 offers better congestion and flow control, resulting in improved web page response times and faster page loads compared to Tor's current design and other window-based approaches. We also argue that our proposals do not enable any new attacks on Tor users' privacy.
AB - Tor is one of the most widely used privacy enhancing technologies for achieving online anonymity and resisting censorship. While conventional wisdom dictates that the level of anonymity offered by Tor increases as its user base grows, the most significant obstacle to Tor adoption continues to be its slow performance. We seek to enhance Tor's performance by offering techniques to control congestion and improve flow control, thereby reducing unnecessary delays. To reduce congestion, we first evaluate small fixed-size circuit windows and a dynamic circuit window that adaptively re-sizes in response to perceived congestion. While these solutions improve web page response times and require modification only to exit routers, they generally offer poor flow control and slower downloads relative to Tor's current design. To improve flow control while reducing congestion, we implement N23, an ATM-style per-link algorithm that allows Tor routers to explicitly cap their queue lengths and signal congestion via back-pressure. Our results show that N23 offers better congestion and flow control, resulting in improved web page response times and faster page loads compared to Tor's current design and other window-based approaches. We also argue that our proposals do not enable any new attacks on Tor users' privacy.
UR - http://www.scopus.com/inward/record.url?scp=79961205200&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961205200&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22263-4_8
DO - 10.1007/978-3-642-22263-4_8
M3 - Conference contribution
AN - SCOPUS:79961205200
SN - 9783642222627
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 134
EP - 154
BT - Privacy Enhancing Technologies - 11th International Symposium, PETS 2011, Proceedings
PB - Springer Verlag
ER -