{"id":"W4384009799","doi":"10.1109/icbc56567.2023.10174895","title":"vPass: Publicly Verifiable Fair Exchange Protocol for Vehicle Passports","year":2023,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Victoria","funders":"","keywords":"Computer security; Computer science; Discrete logarithm; Encryption; ElGamal encryption; Zero-knowledge proof; Trusted third party; Confidentiality; Adversary; Verifiable secret sharing; Protocol (science); Public-key cryptography; Cryptography","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":[0.0004973511,0.0001262264,0.0001293944,0.0001768035,0.0001826715,0.000289856,0.0007788327,0.000066999,0.0001570067],"category_scores_gemma":[0.00003406871,0.0001084767,0.0001018095,0.001249947,0.00003624715,0.001151642,0.0003513222,0.00007156208,0.0001452528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001368394,"about_ca_system_score_gemma":0.00005369008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001069326,"about_ca_topic_score_gemma":0.00008432814,"domain_scores_codex":[0.9986157,0.00002078103,0.0001927135,0.0004719305,0.0002441538,0.0004547086],"domain_scores_gemma":[0.9988924,0.00007316629,0.00005673474,0.0007595459,0.00008619743,0.0001319701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002393103,0.0001562693,0.001920151,0.0001653013,0.00001498725,0.00001546471,0.0003891689,0.000005425693,0.0002452795,0.3602853,0.6155189,0.0212599],"study_design_scores_gemma":[0.0008395523,0.000131733,0.004489901,0.00001178233,0.000001591593,0.00000212814,0.00005760781,0.01789187,0.001203547,0.02575526,0.9493985,0.0002165478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.002723536,0.000006512256,0.7557143,0.00519212,0.0006121592,0.2135588,0.0001098223,0.004213508,0.01786923],"genre_scores_gemma":[0.01734686,0.00000271047,0.05121439,0.001302108,0.0002332573,0.9284949,0.00009873059,0.00003208198,0.00127495],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7149361,"threshold_uncertainty_score":0.442355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04643280499336127,"score_gpt":0.3151212848564187,"score_spread":0.2686884798630574,"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."}}