TOWER: Topology Optimization for netWork Enhanced Resilience

Enrique de la Hoz, Jose Manuel Gimenez-Guzman, German Lopez-Civera, Ivan Marsa-Maestre, David Orden

Abstract

Nowadays society is more and more dependent on critical infrastructures. Critical network infrastructures (CNI) are communication networks whose disruption can create a severe impact on other systems including critical infrastructures. In this work, we propose TOWER, a framework for the provision of adequate strategies to optimize service provision and system resilience in CNIs. The goal of TOWER is being able to compute new network topologies for CNIs under the event of malicious attacks. For doing this, TOWER takes into account a risk analysis of the CNI, the results from a cyber-physical IDS and a multilayer model of the network, for taking into account all the existing dependences. TOWER analyses the network structure in order to determine the best strategy for obtaining a network topology, taking into account the existing dependences and the potential conflicting interests when not all requirements can be met. Finally, we present some lines for further development of TOWER.

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Paper Citation


in Harvard Style

de la Hoz E., Gimenez-Guzman J., Lopez-Civera G., Marsa-Maestre I. and Orden D. (2016). TOWER: Topology Optimization for netWork Enhanced Resilience . In - DCCI, (ICETE 2016) ISBN , pages 0-0. DOI: 10.5220/0006017101210128


in Bibtex Style

@conference{dcci16,
author={Enrique de la Hoz and Jose Manuel Gimenez-Guzman and German Lopez-Civera and Ivan Marsa-Maestre and David Orden},
title={TOWER: Topology Optimization for netWork Enhanced Resilience},
booktitle={ - DCCI, (ICETE 2016)},
year={2016},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006017101210128},
isbn={},
}


in EndNote Style

TY - CONF
JO - - DCCI, (ICETE 2016)
TI - TOWER: Topology Optimization for netWork Enhanced Resilience
SN -
AU - de la Hoz E.
AU - Gimenez-Guzman J.
AU - Lopez-Civera G.
AU - Marsa-Maestre I.
AU - Orden D.
PY - 2016
SP - 0
EP - 0
DO - 10.5220/0006017101210128