[RU1/21] Hassan CHAITOU, Optimizing security risk learning on data in presence of heterogenity
Hassan CHAITOU is at the chaire since March 2020 and is followed by Airbus, Amossys, BNP Parisbas and EDF.
The idea of the security game is to make explicit the levers that the attacker may control to achieve his objectives and the countermeasures accessible to the defense. This work then determines which configurations are possible in terms of countermeasures deployed and risk incurred a priori.Assume that the game’s equilibrium can be determined. In such scenario, a strategy for implementing countermeasures that optimize (minimizes) risk-taking can be defined.We propose that existing research on this topic be continued : the general goal of this thesis is to design efficient and resilient classifiers in the presence of heterogeneous data using a non-cooperative game theory analysis.
- [RU1/21] Mariana SEGOVIA, Cyber résilience des systèmes cyber physiques et tolérance aux attaques - October 13, 2021
- [RU1/21] Manel SMINE, Software Defined Security for Internet of Things - October 6, 2021
- [RU1/21] Hassan CHAITOU, Optimizing security risk learning on data in presence of heterogenity - September 29, 2021
