The paper entitled “TRUSTY: A Solution for Threat Hunting Using Data Analysis in Critical Infrastructures”, authored by P. Radoglou-Grammatikis, A. Liatifis, E. Grigoriou, T. Saoulidis, A. Sarigiannidis, T. Lagkas and P. Sarigiannidis, won the “Best Student Paper Award”, by IEEE Cyber Security and Resilience. The paper aims to provide solutions towards protecting industrial environments, by utilizing Reinforcement Learning methods to strategically decide on the number of honeypots to be deployed in energy-related critical infrastructure. The research leading to the awarded paper was funded by the H2020 project, SDN-microSENSE (833955).
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