{"id":"W1970132006","doi":"10.1145/2656346.2656353","title":"Trust based security enhancements for vehicular ad hocnetworks","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Vehicular ad hoc network; Computer security; Wireless ad hoc network; Scheme (mathematics); Cryptography; Intelligent transportation system; Order (exchange); Trust management (information system); Telecommunications; Wireless; Engineering; Business; Transport engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003627683,0.0002467376,0.0002605795,0.00005129265,0.00007578692,0.00004966741,0.0002241285,0.0001753811,0.0002780996],"category_scores_gemma":[0.00002999408,0.0002447391,0.0001417854,0.0001461256,0.00002453726,0.00009834748,0.00002607749,0.0001903058,0.00008850998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007402366,"about_ca_system_score_gemma":0.00001226955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004425796,"about_ca_topic_score_gemma":0.0000445267,"domain_scores_codex":[0.9986542,0.00003409378,0.0002579208,0.0002761095,0.000198611,0.0005790703],"domain_scores_gemma":[0.9992269,0.0000998905,0.00002962157,0.0004338915,0.00005117695,0.0001584731],"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":[0.00001261891,0.00002685807,0.000106979,0.00008245165,0.00005440607,0.000001582894,0.00001950524,0.9740469,0.0005640351,0.0006111797,0.01925546,0.005218026],"study_design_scores_gemma":[0.0007588674,0.00004980368,0.00009491282,0.00002900086,0.0000267764,9.967688e-7,0.00000440248,0.8453761,0.0033521,0.0005947415,0.1494423,0.0002699085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08685334,0.0005692867,0.8949898,0.00009653797,0.0008769513,0.0007372388,0.00001082182,0.0008859013,0.01498006],"genre_scores_gemma":[0.9918186,0.00002519211,0.006851481,0.0003984528,0.0003331953,0.0001413602,0.00009023416,0.00007558713,0.0002659136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9049652,"threshold_uncertainty_score":0.9980171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00528999074452922,"score_gpt":0.2002859190581529,"score_spread":0.1949959283136236,"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."}}