{"id":"W2145301534","doi":"10.1109/glocom.2008.ecp.365","title":"Security Analysis and Authentication Improvement for IEEE 802.11i Specification","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Computer security; IEEE 802.1X; Authentication (law); Computer network; IEEE 802; Network Access Control; Cryptography; IEEE 802.11s; Wireless network; Insider; IEEE 802.11; Wireless; Cloud computing security; Wireless mesh network; Telecommunications; Cloud computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574373,0.0001189721,0.0001587706,0.0001768834,0.0002335122,0.00006530854,0.0003816374,0.00004584457,0.00002263775],"category_scores_gemma":[0.00004084117,0.000113026,0.00008681236,0.0006397323,0.00006930502,0.0005254446,0.00007446855,0.00005609546,0.00001719444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331127,"about_ca_system_score_gemma":0.0000310871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001176319,"about_ca_topic_score_gemma":0.00001283997,"domain_scores_codex":[0.9987425,0.0000283785,0.0003091051,0.0005072851,0.0002165705,0.0001961386],"domain_scores_gemma":[0.9987759,0.00008531332,0.0001656935,0.0006849771,0.0001948842,0.0000932384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001938432,0.0004120517,0.004324237,0.0000561179,0.0002041212,9.947445e-7,0.004284143,0.00005006368,0.01654241,0.9527594,0.0002408478,0.02110626],"study_design_scores_gemma":[0.001087878,0.0002073982,0.04867316,0.000006182828,0.0001483439,0.000008973509,0.00007891897,0.4541799,0.1370656,0.3546146,0.003410771,0.0005183738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0360072,0.00001249021,0.9597949,0.0006999715,0.0000666628,0.003000786,0.000005411174,0.0001525814,0.0002600236],"genre_scores_gemma":[0.9191325,0.00001654149,0.0785825,0.0001305353,0.00003372736,0.001721528,0.00001243614,0.000005743709,0.0003644918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8831253,"threshold_uncertainty_score":0.4609068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378397765654851,"score_gpt":0.2820586640932514,"score_spread":0.2582746864367029,"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."}}