{"id":"W4391222116","doi":"10.9734/ajrcos/2024/v17i3423","title":"AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems","year":2024,"lang":"en","type":"article","venue":"Asian Journal of Research in Computer Science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Independent Electricity System Operator","funders":"","keywords":"Access control; Cloud computing; Identity management; Access management; Authentication (law); Identity (music); Authorization; Computer security; Computer science; Computer access control; Computer network; Operating system","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":[0.006829895,0.0002570209,0.0002623831,0.001190669,0.00145606,0.004903763,0.0007896782,0.0006636556,0.001305148],"category_scores_gemma":[0.01235681,0.0001372265,0.0003549116,0.001604554,0.002234183,0.007715018,0.0020178,0.001494832,0.0002031033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275744,"about_ca_system_score_gemma":0.005085298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316364,"about_ca_topic_score_gemma":0.004416126,"domain_scores_codex":[0.9943128,0.003482107,0.0001835898,0.0002342691,0.001321954,0.000465323],"domain_scores_gemma":[0.9842656,0.01166235,0.001277602,0.0008165051,0.001228681,0.0007491685],"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":[0.0002654616,0.0008467156,0.09148324,0.001251985,0.0001226215,0.0004874467,0.01353434,0.007561276,0.008057161,0.2226458,0.004784291,0.6489597],"study_design_scores_gemma":[0.0001376208,0.002854778,0.1789411,0.003701728,0.0004734817,0.002001951,0.08874644,0.2334415,0.02854204,0.2628741,0.1979712,0.0003141154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7439851,0.01143448,0.09425519,0.03348691,0.000265733,0.0004656997,0.00007691785,0.0002462273,0.1157838],"genre_scores_gemma":[0.9776895,0.002743014,0.01805429,0.0006040256,0.00005674968,0.00004709077,0.00002119796,0.000008916963,0.0007752517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006829895,"threshold_uncertainty_score":0.03612036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1400279203606028,"score_gpt":0.421663053127921,"score_spread":0.2816351327673181,"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."}}