{"id":"W2020043802","doi":"10.1109/pimrc.2011.6139693","title":"Location-based anonymous authentication for vehicular communications","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Computer science; Authentication (law); Anonymity; Certificate; Public-key cryptography; Elliptic Curve Digital Signature Algorithm; Computer security; Scheme (mathematics); Vehicular ad hoc network; Message authentication code; Computer network; Key (lock); Elliptic curve cryptography; Signature (topology); Cryptography; Wireless; Encryption; Wireless ad hoc network; Telecommunications; Theoretical computer science","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":[0.0001519322,0.0001086144,0.00009742103,0.00006024356,0.00008633312,0.00001835847,0.0003452734,0.0000760191,0.0000953842],"category_scores_gemma":[0.00002354579,0.000113104,0.0000556133,0.0001809787,0.00004477058,0.0000817108,0.00001990204,0.00008006671,0.0001147056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005470959,"about_ca_system_score_gemma":0.00002833569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103255,"about_ca_topic_score_gemma":0.00007222735,"domain_scores_codex":[0.9993875,0.00001961519,0.0001905764,0.0001181259,0.00007986614,0.0002042915],"domain_scores_gemma":[0.9988449,0.00007227435,0.00002469309,0.0008718778,0.0001192159,0.00006700294],"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":[0.00001431615,0.0002164818,0.0006411942,0.0002095365,0.0001377525,0.00000118017,0.0007885215,0.948822,0.003059976,0.03076931,0.006340322,0.008999384],"study_design_scores_gemma":[0.0002383246,0.00001538329,0.001424333,0.00001684037,0.00003397363,0.000001246032,0.00002588287,0.9866756,0.003314536,0.0006183652,0.007486703,0.000148776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02437888,0.0009042319,0.9607552,0.0002629641,0.0002195618,0.0008818564,0.000007530175,0.00105452,0.01153522],"genre_scores_gemma":[0.946311,0.00001415893,0.05300196,0.0001026176,0.00003265544,0.0002315351,0.00009418032,0.00003834086,0.0001735379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219321,"threshold_uncertainty_score":0.4612247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627804896946497,"score_gpt":0.226412310942132,"score_spread":0.1901342619726671,"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."}}