{"id":"W4280594456","doi":"10.1002/spy2.238","title":"Roadside unit‐based pseudonym authentication in vehicular ad hoc network","year":2022,"lang":"en","type":"article","venue":"Security and Privacy","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vehicular ad hoc network; Computer science; Computer network; Pseudonym; Authentication (law); Wireless ad hoc network; Revocation list; Computer security; Overhead (engineering); Certificate; Intelligent transportation system; Revocation; Public key certificate; Public-key cryptography; Wireless; Encryption; Telecommunications; 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":[0.0004945943,0.0001637286,0.0001872391,0.00008973446,0.0001777001,0.00004178956,0.0002321737,0.00007439761,0.000152075],"category_scores_gemma":[0.00002233053,0.0001973134,0.00005135548,0.0004548234,0.00003185846,0.0001100507,0.0001522018,0.0005218666,0.00001288894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000831272,"about_ca_system_score_gemma":0.00003158559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000016683,"about_ca_topic_score_gemma":0.00007939449,"domain_scores_codex":[0.9987656,0.0001548493,0.0002289766,0.0002358295,0.0002179249,0.000396856],"domain_scores_gemma":[0.9994757,0.00007147927,0.00003439289,0.0003044902,0.0000148766,0.00009902062],"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":[0.00002104097,0.0000387537,0.001976296,0.00004234926,0.00002104712,0.00003872788,0.001170756,0.9927382,0.0001783912,0.0007984467,0.001203845,0.001772116],"study_design_scores_gemma":[0.0005981189,0.00004187653,0.009150262,0.00002942335,0.00001943143,0.00001226445,0.00007106731,0.8986455,0.00007223286,0.004304912,0.08680106,0.0002538415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906411,0.007273891,0.0005192564,0.000421045,0.0002424916,0.0002930355,0.000008000155,0.0002137091,0.0003874486],"genre_scores_gemma":[0.9988036,0.0002481209,0.0004690582,0.0002008603,0.00009546088,0.00006586384,0.00006419777,0.00003369898,0.0000190943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09409272,"threshold_uncertainty_score":0.8046208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009131276373561762,"score_gpt":0.2090043119142103,"score_spread":0.1998730355406486,"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."}}