Visible to the public Insider Threat Detection Using Natural Language Processing and Personality Profiles

TitleInsider Threat Detection Using Natural Language Processing and Personality Profiles
Publication TypeConference Paper
Year of Publication2020
AuthorsEftimie, S., Moinescu, R., Rǎcuciu, C.
Conference Name2020 13th International Conference on Communications (COMM)
Keywordscloud computing, Companies, computer security, Human Behavior, Insider Threat Detection, insider threats, Linguistics, natural language processing, personal content, personality insights, personality profiles, proof-of-concept detection system, psychological profiles, psychology, pubcrawl, Resiliency, Scalability, security of data, Taxonomy, third-party cloud service
AbstractThis 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.
DOI10.1109/COMM48946.2020.9141964
Citation Keyeftimie_insider_2020