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TOWER: Topology Optimization for netWork Enhanced Resilience

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

TOWER: Topology Optimization for netWork Enhanced Resilience

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.

7th International Conference on Data Communication Networking - DCNET 2016 , 26/07/2016-28/07/2016, Lisboa, Portugal.

European Commission

Related Organizations
Keywords

Telecomunicaciones, Critical Infrastructures, Network Reshaping, Network resilience, critical infrastructures, graph modelling, network reshaping., Telecommunication, Graph Modelling, Network Resilience

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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