{"id":"W2003748004","doi":"10.1145/1952982.1952985","title":"Authorization recycling in hierarchical RBAC systems","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Information and System Security","topic":"Access Control and Trust","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bottleneck; Authorization; Access control; Reuse; Role-based access control; Single point of failure; Distributed computing; Computer security; Computer network; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01183417,0.0006598221,0.001215828,0.001568544,0.002987994,0.003020504,0.003283217,0.001680605,0.002584873],"category_scores_gemma":[0.0251564,0.000941224,0.0008598689,0.001673294,0.003252129,0.005443948,0.002583449,0.001911408,0.0007839496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003054636,"about_ca_system_score_gemma":0.00478031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133444,"about_ca_topic_score_gemma":0.008145744,"domain_scores_codex":[0.9881947,0.004896973,0.0006787744,0.001095088,0.003830778,0.001303711],"domain_scores_gemma":[0.9734062,0.01055465,0.003039306,0.008670188,0.003627674,0.0007019741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00107221,0.000389286,0.00840124,0.0003644814,0.0001906564,0.0005806175,0.002352096,0.542547,0.01921683,0.2072053,0.003746922,0.2139333],"study_design_scores_gemma":[0.00009545961,0.0001451518,0.00120906,0.00004341235,0.0000634773,0.0002599602,0.0003041023,0.9312798,0.01089173,0.05090398,0.004726844,0.00007703208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1776187,0.0008414053,0.8096183,0.0005723556,0.00003379635,0.0002564886,0.00007158332,0.003877488,0.007109901],"genre_scores_gemma":[0.8783136,0.0001738757,0.1186204,0.0001307966,0.00002396952,0.00009174174,0.00007335015,0.0001239592,0.002448377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0133444,"threshold_uncertainty_score":0.06258583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967124889391913,"score_gpt":0.2710190726943146,"score_spread":0.2413478238003955,"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."}}