Biblio
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Insider Threat Detection Using Natural Language Processing and Personality Profiles. 2020 13th International Conference on Communications (COMM). :325–330.
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2020. This work represents an interdisciplinary effort to proactively identify insider threats, using natural language processing and personality profiles. Profiles were developed for the relevant insider threat types using the five-factor model of personality and were used in a proof-of-concept detection system. The system employs a third-party cloud service that uses natural language processing to analyze personality profiles based on personal content. In the end, an assessment was made over the feasibility of the system using a public dataset.