{"id":"W2525989728","doi":"10.1109/jsyst.2015.2424677","title":"On the Possibility of Insider Threat Prevention Using Intent-Based Access Control (IBAC)","year":2015,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"University of Tabuk","keywords":"Insider threat; Access control; Computer security; Robustness (evolution); Insider; Computer science; Internet privacy; Authentication (law); Control (management); Artificial intelligence","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":[0.006087424,0.0007163303,0.0005375678,0.001632366,0.0006010987,0.001937252,0.0007561576,0.0009871592,0.000892301],"category_scores_gemma":[0.03031449,0.0002643213,0.0006954349,0.0003839691,0.001885682,0.002555292,0.001381449,0.001049255,0.0001530913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005716774,"about_ca_system_score_gemma":0.0007347077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386249,"about_ca_topic_score_gemma":0.0005990287,"domain_scores_codex":[0.9953695,0.00240434,0.0002301094,0.0004768505,0.001246671,0.0002725516],"domain_scores_gemma":[0.9614745,0.02809378,0.003630586,0.002947684,0.003319042,0.0005344586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003485627,0.001807681,0.1731207,0.0007611648,0.0006345392,0.001209947,0.003753776,0.1268209,0.0739813,0.07617066,0.001851294,0.5364023],"study_design_scores_gemma":[0.00009124017,0.002175413,0.0340368,0.0001646558,0.0003403138,0.001105529,0.0005954641,0.8909373,0.03660787,0.03252603,0.001243656,0.000175895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5261009,0.0006299687,0.4655592,0.000625263,0.00006679726,0.0003008046,0.00005133998,0.0008861416,0.005779468],"genre_scores_gemma":[0.9813471,0.00006839977,0.0182518,0.00005078552,0.00001279014,0.00002997286,0.00001594753,0.000008549551,0.0002146945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006087424,"threshold_uncertainty_score":0.03219378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2669161667887425,"score_gpt":0.4338131813345844,"score_spread":0.1668970145458419,"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."}}