Objective
The protection of the national infrastructures is one of the main issues for national and international security. While FP7 MICIE project has proved that increasing cooperation among infrastructures increases their level of service and predictive capability, it is not enough to effectively counteract threats such as cyber attacks. Such attacks could be performed blocking communication from central SCADA to local equipments or inserting fake commands/measurements in the SCADA-field equipment communications (as happened with STUXNET worm). The paradox is that critical infrastructures massively rely on the newest interconnected (and vulnerable) ICT technologies, while the control equipment is typically old, legacy software/hardware. Such a combination of factors may lead to very dangerous situations, exposing systems to a wide variety of attacks. To overcome such threats, the CockpitCI project aims on one hand to continue the work done in MICIE by refining and updating the on-line Risk Predictor deployed in the SCADA centre, on the other hand to provide some kind of intelligence to field equipment, allowing them to perform local decisions in order to self-identify and self-react to abnormal situations induced by cyber attacks. It is mandatory to operate both at SCADA control centre and at field equipment because it is very dangerous to let field components operate autonomously. To address this issue an hybrid validation system will be implemented: at the Control Centre level an “Integrated On-line Risk Predictor” will provide the operator with qualitative/quantitative measurements of near future level of risk integrating data coming from the field, from other infrastructures, and from smart detection agents monitoring possible cyber attacks; at field level, the system is complemented with a smart software layer for field equipment and a detection system for the TLC network. The system will be validated on real equipment and scenarios provided by Israel Electric Corp.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
FP7-SEC-2011-1
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Funding Scheme
CP-FP - Small or medium-scale focused research projectCoordinator
00195 Roma
Italy
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Participants (13)
Participation ended
1855 LUXEMBOURG
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4362 Esch Sur Alzette
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00195 Roma
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00154 Roma
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00196 Roma
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31000 Haifa
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6831 Berbourg
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7000 Mons
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3004-531 Coimbra
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GU2 7XH Guildford
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030786 Bucuresti
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4017 Stavanger
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00131 ROMA
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