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Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows, but requires long periods of observation to reduce errors. Active traffic analysis, also known as flow watermarking, allows for better precision and is more scalable. Previous flow watermarks introduce significant delays to the traffic flow as a side effect of using a...
Traffic analysis often requires direct observations of network connections at local vantage points. In this work, we show that traffic analysis can be performed remotely by taking advantage of a timing side channel. The timing side channel results from a shared resource, namely, the scheduler between two users. Utilizing Shannon equivocation as a privacy metric, we prove that one user can learn the...
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