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Article overview
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Website Detection Using Remote Traffic Analysis | Xun Gong
; Negar Kiyavash
; Nabíl Schear
; Nikita Borisov
; | Date: |
1 Sep 2011 | Abstract: | Recent work in traffic analysis has shown that traffic patterns leaked
through side channels can be used to recover important semantic information.
For instance, attackers can find out which website, or which page on a website,
a user is accessing simply by monitoring the packet size distribution. We show
that traffic analysis is even a greater threat to privacy than previously
thought by introducing a new attack that can be carried out remotely. In
particular, we show that, to perform traffic analysis, adversaries do not need
to directly observe the traffic patterns. Instead, they can gain sufficient
information by sending probes from a far-off vantage point that exploits a
queuing side channel in routers. To demonstrate the threat of such remote
traffic analysis, we study a remote website detection attack that works against
home broadband users. Because the remotely observed traffic patterns are more
noisy than those obtained using previous schemes based on direct local traffic
monitoring, we take a dynamic time warping (DTW) based approach to detecting
fingerprints from the same website. As a new twist on website fingerprinting,
we consider a website detection attack, where the attacker aims to find out
whether a user browses a particular web site, and its privacy implications. We
show experimentally that, although the success of the attack is highly
variable, depending on the target site, for some sites very low error rates. We
also show how such website detection can be used to deanonymize message board
users. | Source: | arXiv, 1109.0097 | Services: | Forum | Review | PDF | Favorites |
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