In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
—Virtual coordinate systems provide an accurate and efficient service that allows hosts on the Internet to determine latency to arbitrary hosts based on information provided by ...
Sheila Becker, Jeff Seibert, David Zage, Cristina ...
Cooperative intrusion detection techniques for MANETs utilize ordinary computing hosts as network intrusion sensors. If compromised, these hosts may inject bogus data into the int...
Daniel Sterne, Geoffrey Lawler, Richard Gopaul, Br...