Manuel Poisson

Research On Automatic Generation Of Attack Scenarios On Existing Architectures (phd Student)

Manuel Poisson is a PhD student currently engaged in research on the automatic generation of attack scenarios for existing architectures at both AMOSSYS and Inria since October 2022 and February 2022, respectively. This research focuses on developing formal representations of information system architectures to implement attack scenarios based on defined environmental constraints. Manuel's background includes a master's degree in cybersecurity from IRISA and an engineering degree in computer science from INSA Rennes, complemented by work experience at SEKOIA.IO, where improvements were made to log parsers, and at DGA, where Manuel updated a user interface and transitioned from Python 2 to Python 3. The academic journey began with a general baccalaureate from Lycée Notre Dame Rezé, emphasizing mathematics and science.

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