I just finished reading:

Anonymous Networking amidst Eavesdroppers (PDF)
by Parvathinathan Venkitasubramaniam, Ting He, and Lang Tong.
Pre-print available as arXiv:0710.4903v1 at arxiv.org, October 2007.

This piece of work has the potential to become a milestone is anonymity research. It puts forward, for the first time, an analytical model of the anonymous communication capacity for a certain degree of quality of service, in terms of latency and throughput.

The key idea behind the anonymity mechanism is that relays transmit a schedule that is statistically independent from the messages they receive. This ensure that no traffic characteristics propagate in the network to allow tracing. When it is time to send a message out, a node checks if an input message is in the queue, otherwise it sends a dummy. Input messages in the internal queues expire after a certain time to ensure that message are delivered in a timely fashion (introducing unreliability, and thus a reduction in capacity, instead.)

The measure of anonymity used is entropic (but different from previous ones), in that it measure the fraction of information gain. Say the adversary has H(S) bits of uncertainty before the observation of the system, and H(S|Y) afterwards, the metric of security is defines as a = H(S|Y) / H(S). It is cute that Fano’s inequality allows to calculate the probability the adversary identifies the correct set of communicating partners from this metric.

Excellent, highly recommended, work!

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