Modern networks are becoming increasingly interdependent. As a prominent example, the smart grid is an electrical grid controlled through a communications network, which in turn is powered by the electrical grid. Such interdependencies create new vulnerabilities and make these networks more susceptible to failures. In particular, failures can easily spread across these networks due to their interdependencies, possibly causing cascade effects with a devastating impact on their functionalities. In this paper we focus on the interdependence between the power grid and the communications network, and propose a novel realistic model, HINT (Heterogeneous Interdependent NeTworks), to study the evolution of cascading failures. Our model takes into account the heterogeneity of such networks as well as their complex interdependencies. We compare HINT with previously proposed models both on synthetic and real network topologies. Experimental results show that existing models oversimplify the failure evolution and network functionality requirements, resulting in severe underestimations of the cascading failures.
|Title of host publication||2016 International Conference on Computing, Networking and Communications, ICNC 2016|
|State||Published - Mar 23 2016|
|Event||International Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States|
Duration: Feb 15 2016 → Feb 18 2016
|Name||2016 International Conference on Computing, Networking and Communications, ICNC 2016|
|Conference||International Conference on Computing, Networking and Communications, ICNC 2016|
|Period||2/15/16 → 2/18/16|
Bibliographical noteFunding Information:
This work is partially supported by the Defense Threat Reduction Agency grant HDTRA1-10-1-0085 and by the NSF grant CNS-1545037. Mauro Conti is supported by a Marie Curie Fellowship funded by the European Commission under the agreement No. PCIG11-GA-2012-321980.
© 2016 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications
- Social Sciences (miscellaneous)