{"id":"W7127069819","doi":"10.1109/trustcom66490.2025.00365","title":"A Privilege Creep-Aware Role Mining Method for Enhanced Access Control Security","year":2025,"lang":"","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Privilege (computing); Access control; Role-based access control; State (computer science); Control (management); Reduction (mathematics)","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":[0.002003796,0.0007570988,0.0007101562,0.002504036,0.0008016446,0.001120038,0.001894713,0.0006108004,0.001263739],"category_scores_gemma":[0.007428925,0.0003759509,0.001121289,0.001388212,0.0004405918,0.00218723,0.001348986,0.001234172,0.0009282358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843652,"about_ca_system_score_gemma":0.001977243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795137,"about_ca_topic_score_gemma":0.005430084,"domain_scores_codex":[0.9976132,0.0005080143,0.0002185366,0.0005971902,0.0009053986,0.0001576985],"domain_scores_gemma":[0.9969338,0.0009681927,0.0003128514,0.0009661668,0.0006751006,0.0001438576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004359238,0.0007252778,0.02022308,0.000381276,0.0001578841,0.0004213311,0.000837468,0.01571052,0.05182059,0.01413732,0.01677887,0.8783704],"study_design_scores_gemma":[0.00009422915,0.0002569649,0.006827822,0.00008657449,0.0001059759,0.001506788,0.0004171516,0.8883641,0.05403393,0.01936326,0.02884492,0.00009830085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03579874,0.0006673323,0.949665,0.0004258091,0.0001069029,0.0004118583,0.000892042,0.01028339,0.001748905],"genre_scores_gemma":[0.3062673,0.0002574091,0.6876398,0.0001742132,0.0000667608,0.0002900964,0.002268626,0.0003003275,0.002735432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002795137,"threshold_uncertainty_score":0.01059717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596989982227413,"score_gpt":0.3845585636966591,"score_spread":0.368588663874385,"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."}}