{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001972997,0.0003411976,0.0007915138,0.000995293,0.001140851,0.0009958384,0.001306466,0.0009027016,0.002178973],"category_scores_gemma":[0.004095879,0.0002448166,0.0002964163,0.0008184828,0.0009787327,0.002852251,0.002526046,0.0005993562,0.0011277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006832972,"about_ca_system_score_gemma":0.001163683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271982,"about_ca_topic_score_gemma":0.001149243,"domain_scores_codex":[0.9966504,0.001602279,0.0002687611,0.0003958469,0.0007615098,0.0003213154],"domain_scores_gemma":[0.9961488,0.0009941628,0.000455401,0.001301894,0.0009342351,0.0001654637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002879743,0.0003751077,0.01129704,0.0004707036,0.0001697843,0.001719746,0.00147886,0.2824177,0.08570651,0.177585,0.006156308,0.4297436],"study_design_scores_gemma":[0.00005402452,0.0003137427,0.0007077382,0.00002669554,0.00002822565,0.0003736487,0.0002224574,0.947409,0.02596238,0.01857903,0.006268987,0.00005408974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120874,0.0003615748,0.8808185,0.0001975009,0.0001412503,0.0002287361,0.00007012885,0.001089755,0.005005165],"genre_scores_gemma":[0.9524169,0.0001191755,0.04413464,0.00003742152,0.00002809727,0.00007369187,0.0001024594,0.00001649786,0.003071167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002178973,"threshold_uncertainty_score":0.01043439,"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."}}