Our paper on ``Federated learning of predictive models from federated Electronic Health Records''...
Statistical Techniques for Detecting Internet Traffic Anomalies
Funding Agency: Army Research Office (ARO), Computing and Information Sciences.
Award Number: W911NF-09-1-0492.
Principal Investigator: Yannis Paschalidis, Boston University.
This short-term project aims at further developing statistical anomaly detection approaches that can be used to monitor the aggregate Internet traffic associated with a group of computer systems. It will built on recent work by the PI on random and Markovian models for characterizing typical traffic distributions and detecting deviations from them. In addition, it will develop an approach for combining inputs from several traffic anomaly detectors to detect spatial anomalies that could identify a more global and coordinated attack campaign.