Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
One of the most pressing problems in network research is the lack of long-term trace data from ISPs. The Internet carries an enormous volume and variety of data; mining this data ...
Background: Cellular metabolism can be characterized by networks of enzymatic reactions and transport processes capable of supporting cellular life. Our aim is to find evolutionar...
Hee Shin Kim, Jay E. Mittenthal, Gustavo Caetano-A...
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
We analyze a seven-week trace of the Metricom metropolitan-area packet radio wireless network to find how users take advantage of a mobile environment. Such understanding is criti...