{"id":"W1598015853","doi":"10.1002/sec.641","title":"Efficient group‐based authentication protocol for location‐based service discovery in intelligent transportation systems","year":2013,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Service discovery; Computer science; Scalability; Authentication (law); Service (business); Computer security; Intelligent transportation system; Protocol (science); Computer network; Scheme (mathematics); Vehicular ad hoc network; Authentication protocol; Wireless ad hoc network; World Wide Web; Telecommunications; Web service; Wireless; Database","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":[0.0004109953,0.0001909211,0.0001922928,0.0001000341,0.0001223746,0.0001676114,0.0002726016,0.000168695,0.00001070422],"category_scores_gemma":[0.00000926084,0.0002027011,0.00004388448,0.0004472271,0.00004251782,0.0001934839,0.00001392063,0.0002593817,0.000006080552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155766,"about_ca_system_score_gemma":0.00002590193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342474,"about_ca_topic_score_gemma":0.0009681021,"domain_scores_codex":[0.9987526,0.0001353122,0.0004865036,0.0002103959,0.0001462842,0.000268911],"domain_scores_gemma":[0.9988407,0.0002087797,0.0001090895,0.0005934336,0.0001712216,0.0000767474],"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":[0.00002775718,0.0001193686,0.0002649715,0.0004259063,0.00001109998,9.150701e-8,0.0004571027,0.9961273,0.00002512824,0.001637403,0.0001612671,0.0007426132],"study_design_scores_gemma":[0.0009050132,0.00002675498,0.003451913,0.000405207,0.00001604368,3.624623e-7,0.0001907663,0.993252,0.00003478706,0.0003166091,0.001187052,0.0002134744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08171346,0.0009834097,0.807539,0.0006115542,0.000150233,0.1085033,0.00001668221,0.0003621721,0.0001201826],"genre_scores_gemma":[0.8530359,0.00001433374,0.0006803636,0.0001110776,0.00003457264,0.1456584,0.0004315647,0.00003035619,0.000003511041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8068586,"threshold_uncertainty_score":0.8265911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191095489565458,"score_gpt":0.2349695271379807,"score_spread":0.2230585722423261,"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."}}