{"id":"W4414404556","doi":"10.1109/jiot.2025.3612990","title":"Lightweight Certificateless Authentication Scheme With Enhanced Privacy for CAVs","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Authentication (law); Mutual authentication; Key (lock); Resilience (materials science); Revocation; Public-key cryptography; Key management; Public key infrastructure; Cryptographic nonce; Scheme (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258208,0.0006447644,0.00102477,0.001012012,0.00158369,0.001702752,0.001943242,0.001561728,0.002845088],"category_scores_gemma":[0.008110975,0.0003218554,0.001120872,0.001721841,0.001787047,0.004882273,0.00459237,0.002103042,0.001376988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419851,"about_ca_system_score_gemma":0.003334984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008588016,"about_ca_topic_score_gemma":0.0004649739,"domain_scores_codex":[0.9955404,0.001274848,0.0005187843,0.0006595024,0.001340251,0.0006662463],"domain_scores_gemma":[0.9926542,0.001434435,0.001101846,0.003136913,0.001214938,0.0004576689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002163669,0.0003662631,0.003281984,0.0008433541,0.0001373115,0.001558914,0.001308741,0.1130358,0.1229479,0.5037485,0.01142969,0.2391777],"study_design_scores_gemma":[0.000500638,0.001221449,0.001229413,0.0001341251,0.0001711225,0.002722793,0.0002665113,0.7687044,0.05533085,0.1258249,0.04361299,0.0002808286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06207678,0.0006337576,0.9270998,0.000895315,0.0003067362,0.0004240462,0.0002514493,0.001836409,0.006475727],"genre_scores_gemma":[0.9420454,0.0002076109,0.05384108,0.0001746907,0.00009635468,0.0001596098,0.0002647492,0.00003781975,0.003172722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002845088,"threshold_uncertainty_score":0.01194268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111895907063632,"score_gpt":0.2423092347485918,"score_spread":0.2311902756779555,"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."}}