Cybersecurity on SCADA: risk prediction, analysis .. (CockpitCI)
Cybersecurity on SCADA: risk prediction, analysis and reaction tools for Critical Infrastructures
Start date: Jan 1, 2012,
End date: Dec 31, 2014
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.
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