Skip to main content
European Commission logo
English English
CORDIS - EU research results
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary
Content archived on 2024-06-18

Anomaly detection in distributed networks

Objective

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. As part of this quest, we will investigate other closely related topics such as manifold learning, intrinsic dimension estimation, robust level set estimation and annotated ranking of measurements. Next, we will consider the anomaly detection problem in a more ambitious and practical setting, namely under distributed, constantly changing and complex network conditions. Using tools from information theory and differential geometry, we will study the fundamental performance bounds on anomaly detection in such settings. Given these bounds and our novel topological framework, we will address the design and employment of such networks using concepts from compressed sensing, active learning, sequential experiment design and modern sampling techniques. Finally, we will analyze the data and measurements using spatio-temporal graphical models and state of the art message passing methods.

Call for proposal

FP7-PEOPLE-2007-4-1-IOF
See other projects for this call

Coordinator

THE HEBREW UNIVERSITY OF JERUSALEM
EU contribution
€ 223 571,03
Address
EDMOND J SAFRA CAMPUS GIVAT RAM
91904 Jerusalem
Israel

See on map

Activity type
Higher or Secondary Education Establishments
Administrative Contact
Jane Turner (Ms.)
Links
Total cost
No data

Participants (1)