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.

Short name and number: 
DAD (219808)
Name of US Partner: 
THE REGENTS OF THE UNIVERSITY OF MICHIGAN
Contact: 

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY. (IL) / DAVISON Mark

Participating Countries: 
Israel
Area: 

No theme specific

Category: 

FP7 Project with U.S. partner