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From Detecting Cyber-Attacks to Mitigating Risk Within a Hybrid Environment

Authors: Chiara Foglietta; Dario Masucci; Cosimo Palazzo; Riccardo Santini; Stefano Panzieri; Luís Rosa 0001; Tiago Cruz 0001; +1 Authors

From Detecting Cyber-Attacks to Mitigating Risk Within a Hybrid Environment

Abstract

Telecommunication networks based on commonplace technologies (such as Ethernet) often constitute a vulnerable attack vector against modern critical infrastructures (CIs), particularly for supervisory control and data acquisition (SCADA) systems, which rely on them for monitoring and controlling physical components. This paper presents a unique platform that encompasses a range of capabilities, from cyber-attack detection to mitigation strategies, through interdependency and risk evaluation. The platform is made of two main components: a cyber-attack detection subsystem and a risk assessment framework. Both blocks are innovative from research point of view and they have been developed and customized to fit the CIs’ features, that are completely different from telecommunication networks. This platform has been tested on a hybrid environment testbed, made of virtual and real components, within the scope of the EU FP7 CockpitCI and EU H2020 ATENA projects. The case study corresponds to a medium voltage power grid controlled by a SCADA control center, where the platform has been validated with optimal results in terms of detection capabilities and time response.

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
20
Top 10%
Top 10%
Top 10%
4
35
Green
hybrid