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This study proposes a Digital Twin – based approach to simulate cyber-attack scenarios and retrieve the data required for estimating the probability of attack success, demonstrated on a specific scenario involving the intentional shutdown of the cooling system of an electrolyzer module.
Valerio Cozzani, B. Fabiano, G. Reniers et al.
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This study proposes a lightweight Natural Language Processing (NLP) pipeline to automatically classify the primary cause of major accidents using the European eMARS database and shows that Word2Vec+SVM provides the strongest and most stable baseline on the full labelled set, while SBERT performance improves markedly un...
Valerio Cozzani, B. Fabiano, G. Reniers et al.
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