Probabilistic approach to estimate the risk of being a cybercrime victim

The identification and the assessment of population classes who risk being cybercrime victims is a major problem especially when these classes are latent and unobservable. For this reason, we suggest a solution based on the probabilistic approach which derives from the Bayes theory. We adapt the latent class analysis to identify unobservable classes of victims and we propose a measure of risk of cybercrime based on conditional probabilities resulting from LCA. 6234 Youssef Bentaleb, Abdallah Abarda, Hassan Mharzi and Said El Hajji Mathematics Subject Classification: 62-07, 62H30, 62P25

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