{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005088812,0.0005430588,0.0002963016,0.001519153,0.0008590184,0.001624248,0.0006217622,0.0007915866,0.002201155],"category_scores_gemma":[0.01271273,0.0003141093,0.0008272156,0.0008627602,0.0009327439,0.003065229,0.0005467041,0.001499755,0.0007364854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324095,"about_ca_system_score_gemma":0.002034375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352746,"about_ca_topic_score_gemma":0.0007416918,"domain_scores_codex":[0.9927083,0.002203328,0.0005593078,0.0004370718,0.003374269,0.0007178621],"domain_scores_gemma":[0.9905581,0.00296106,0.001103214,0.001827329,0.003459163,0.00009109987],"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":[0.00148898,0.0004042881,0.02040449,0.0005791391,0.0001289443,0.001343373,0.00135088,0.06449723,0.1216546,0.3983417,0.01388308,0.3759234],"study_design_scores_gemma":[0.00009314143,0.0009406723,0.01113049,0.0002097254,0.0002437062,0.00191277,0.0005676952,0.7459798,0.132283,0.05458438,0.05187682,0.0001778213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1720982,0.001766614,0.7893553,0.002219988,0.0004455833,0.0005108296,0.0001572258,0.001771249,0.03167507],"genre_scores_gemma":[0.8543031,0.000939206,0.1391156,0.0002189706,0.0001690025,0.0002078045,0.0002613411,0.00008211411,0.004703033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005088812,"threshold_uncertainty_score":0.02691251,"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."}}