The structural analysis is the very basic tool for understanding the properties of a network. In this paper we present a (customizable) tool, able to compute in real-time the most important connectivity properties of a network, modeled as an undirected graph: connected and biconnected components, articulation points and bridges. The algorithm underlying the tool has been theoretically analyzed in the (semi-)streaming model, and has been tested with graphs up to hundreds of millions nodes and billions edges. The tool, therefore, can be employed to monitor traffic flows in medium and large networks, at real-time, and detect possible anomalies. As an application, we provide results about the structural properties of ten years of samples of the Autonomous System network, obtained from the Univ. of Oregon Route Views project [1], that (once again) shows the ubiquitous presence of power-law distribution. © 2011 IEEE.
Ausiello, G., Firmani, D., Laura, L. (2011). Real-time anomalies detection and analysis of network structure, with application to the Autonomous System network. In 7th International Wireless Communications and Mobile Computing Conference (IWCMC) (pp.1575-1579). IEEE [10.1109/IWCMC.2011.5982606].
Real-time anomalies detection and analysis of network structure, with application to the Autonomous System network
Ausiello Giorgio;Firmani Donatella;
2011-01-01
Abstract
The structural analysis is the very basic tool for understanding the properties of a network. In this paper we present a (customizable) tool, able to compute in real-time the most important connectivity properties of a network, modeled as an undirected graph: connected and biconnected components, articulation points and bridges. The algorithm underlying the tool has been theoretically analyzed in the (semi-)streaming model, and has been tested with graphs up to hundreds of millions nodes and billions edges. The tool, therefore, can be employed to monitor traffic flows in medium and large networks, at real-time, and detect possible anomalies. As an application, we provide results about the structural properties of ten years of samples of the Autonomous System network, obtained from the Univ. of Oregon Route Views project [1], that (once again) shows the ubiquitous presence of power-law distribution. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
