Description
Date depot: 1 janvier 1900
Titre: Probabilistic graphical model-based security for SCADA critical infrastructures
Directeur de thèse:
Christophe GONZALES (LIP6)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
SCADA systems are exploited to control many industrial processes and are extensively exploited in many critical infrastructures like energy and water distribution, nuclear plants, etc. Unfortunately, their security is currently often insufficient to prevent malevolent access and cyber intrusions, which can have dramatic consequences (see, for instance, http://en.wikipedia.org/wiki/Stuxnet). The European community has issued a law making it compulsory for companies to protect their critical infrastructures, including their SCADA systems.
The goal of the PhD is to exploit probabilistic graphical model technologies to detect possible intrusions or cyber-attacks in such SCADA systems. The PhD student will first work on the learning of the probabilistic graphical models from data acquired from the SCADA system. Those are very heterogeneous and their large amount places the learning perspective into a big data context. Once the models will be learnt, the PhD will have to develop efficient inference algorithms to detect intrusions and attacks as quickly as possible.
The PhD student will work on the necessary theoretical concepts and methodologies to design these algorithms and will also implement them in C++ into the aGrUM graphical model library (http://agrum.lip6.fr).
Doctorant.e: Cortijo Aragon Santiago José