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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...
We study the privacy compromise due to a queuing side channel which arises when a resource is shared between two users in the context of packet networks. The adversary tries to learn about the legitimate user's activities by sending a small but frequent probe stream to the shared resource (e.g., a router). We show that for current frequently used scheduling policies, the waiting time of the adversary...
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