{"id":"W4409156298","doi":"10.1109/trustcom63139.2024.00279","title":"NLP and Neural Networks for Insider Threat Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Insider threat; Insider; Artificial intelligence; Natural language processing; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139317,0.001625829,0.0007328689,0.002473232,0.000486299,0.0009275092,0.0009895976,0.001373483,0.001680052],"category_scores_gemma":[0.005920081,0.0003527963,0.0008569782,0.002086659,0.0006069131,0.002502525,0.0009562324,0.001892399,0.001308179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593766,"about_ca_system_score_gemma":0.000858561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008184178,"about_ca_topic_score_gemma":0.008254393,"domain_scores_codex":[0.9987031,0.0004491406,0.0001018869,0.0003726761,0.0002889256,0.00008423399],"domain_scores_gemma":[0.9971824,0.001823692,0.000295105,0.0003002964,0.0003596814,0.00003882185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002515345,0.0003569147,0.004209951,0.0004354782,0.0002056626,0.00045857,0.0001272816,0.2672594,0.01131615,0.005415653,0.01709721,0.6928663],"study_design_scores_gemma":[0.000009521643,0.00002796501,0.0009313199,0.0000169774,0.00001902384,0.00006640135,0.00002753448,0.9843762,0.003702769,0.008654082,0.002156126,0.00001210805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06198635,0.004605575,0.9080496,0.002014968,0.0003536559,0.0002215257,0.003934028,0.01247096,0.006363205],"genre_scores_gemma":[0.6046338,0.00256933,0.371961,0.0008735281,0.0005491768,0.000503121,0.01213099,0.0004714068,0.006307588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008184178,"threshold_uncertainty_score":0.01627308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272871896230391,"score_gpt":0.2389421443263108,"score_spread":0.2262134253640069,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}