{"id":"W2085002292","doi":"10.1155/2013/304601","title":"EAP-Based Group Authentication and Key Agreement Protocol for Machine-Type Communications","year":2013,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Academy of Finland; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Authentication protocol; Authentication (law); Machine to machine; Overhead (engineering); Otway–Rees protocol; AKA; Challenge-Handshake Authentication Protocol; Computer security; Operating system; Internet of Things","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":[0.002347186,0.0005679665,0.0007643313,0.0008279418,0.0014104,0.001177374,0.001716589,0.001099576,0.002096227],"category_scores_gemma":[0.003197587,0.0002475867,0.0005599782,0.001079455,0.001383287,0.002679841,0.002952972,0.001571679,0.0007736846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007568795,"about_ca_system_score_gemma":0.001898288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005499612,"about_ca_topic_score_gemma":0.0004634236,"domain_scores_codex":[0.997241,0.00100196,0.0002475097,0.0003924537,0.0008927627,0.0002243206],"domain_scores_gemma":[0.9980717,0.0005480789,0.0002529492,0.0005512981,0.0004805817,0.00009546889],"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":[0.0009417664,0.0003167737,0.001759345,0.0009251862,0.0002290085,0.001882342,0.001234931,0.0574389,0.08187986,0.5484222,0.01405977,0.2909098],"study_design_scores_gemma":[0.0003760458,0.0008564233,0.001272182,0.0001748802,0.0002137656,0.002816153,0.0003105106,0.5902859,0.08642915,0.199326,0.1176893,0.0002495525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01140727,0.0005264686,0.9813771,0.0003281045,0.0001806089,0.0003590164,0.0001027645,0.0008251063,0.004893675],"genre_scores_gemma":[0.6835662,0.0009913489,0.3037374,0.0004635809,0.0002023201,0.001355042,0.0005634099,0.00008385792,0.00903683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002347186,"threshold_uncertainty_score":0.01241326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274191584592892,"score_gpt":0.3301475447163504,"score_spread":0.3027283862570612,"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."}}