{"id":"W4372311864","doi":"10.1016/j.iot.2023.100809","title":"Security issues in Internet of Vehicles (IoV): A comprehensive survey","year":2023,"lang":"en","type":"article","venue":"Internet of Things","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Vulnerability (computing); Intrusion detection system; Confidentiality; The Internet; Network security; Openness to experience; Communications protocol; Computer network; World Wide Web","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":[0.0005031383,0.0002063882,0.0004911625,0.0002538398,0.000004969547,0.00002133952,0.0004629336,0.0001430377,0.00006851959],"category_scores_gemma":[0.00009404655,0.0002196767,0.000108475,0.0004280638,0.00009058392,0.0001862264,0.0002268378,0.000337076,0.00008460484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005870378,"about_ca_system_score_gemma":0.00001028755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005569493,"about_ca_topic_score_gemma":0.0006222799,"domain_scores_codex":[0.9985343,0.000115713,0.0005368453,0.0002217557,0.0002621271,0.0003292901],"domain_scores_gemma":[0.9991956,0.0002571917,0.00009927151,0.000285086,0.0001032686,0.00005958412],"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":[0.000489901,0.000362664,0.2177067,0.002971307,0.001306823,0.0004270482,0.07119492,0.4261316,0.02785518,0.001418601,0.2399978,0.01013735],"study_design_scores_gemma":[0.0005269835,0.00009641645,0.07234006,0.0006533506,0.00001366369,0.000009212354,0.00019624,0.8911229,0.02940954,0.0007408082,0.00459466,0.0002961637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997403,0.0008740586,0.0002363789,0.00005179016,0.0003628298,0.0001606293,0.00001384094,0.0002471713,0.0006503112],"genre_scores_gemma":[0.9991482,0.0001322579,0.0001873392,0.00004133469,0.00002968996,0.000007670908,0.00005442898,0.00004757702,0.0003515016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4649913,"threshold_uncertainty_score":0.8958155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793038972424815,"score_gpt":0.2525150356910927,"score_spread":0.2345846459668445,"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."}}