Anomaly detection in distributed networks

The main research theme in this proposal is non-parametric anomaly (novelty) detection in multidimensional distributed networks. First, we will address the centralized version of anomaly detection. We will reformulate this abstract problem in a topological hypothesis testing framework that is directly applicable to bio-medical applications. The research will focus on algorithm design, performance assessment and uncertainty management.