{"id":"W3033111552","doi":"10.1109/csnet47905.2019.9108923","title":"Cloud-based Sybil Attack Detection Scheme for Connected Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cloud computing; Computer security; Computer science; Authentication (law); SAFER; Scheme (mathematics); Sybil attack; Visibility; Automotive industry; Computer network; Engineering; Wireless sensor network","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":[0.0001293268,0.0001614533,0.0001760039,0.00005731416,0.00003835824,0.00003472808,0.000109474,0.0001387959,0.0002269071],"category_scores_gemma":[0.00002267256,0.0001604605,0.00009508314,0.0001629077,0.00001248827,0.00008650983,0.00001218376,0.0001318684,0.0003749805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008459677,"about_ca_system_score_gemma":0.00001472907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006048646,"about_ca_topic_score_gemma":0.00009979172,"domain_scores_codex":[0.9991531,0.00001471674,0.0001775437,0.0001994829,0.0001160527,0.000339087],"domain_scores_gemma":[0.9994382,0.0001250663,0.00002177916,0.0002789936,0.0000599709,0.00007593648],"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":[0.0000355162,0.00001285434,0.0004383033,0.0001053867,0.00004605788,9.861787e-7,0.000009839063,0.9289936,0.06511118,0.0001362292,0.003225466,0.001884538],"study_design_scores_gemma":[0.0008969671,0.0000798841,0.0003583988,0.00002078327,0.00001181777,0.000002373286,0.00001217545,0.8948382,0.08150806,0.00003023526,0.02202835,0.0002127982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280816,0.0001209202,0.06792878,0.00004814212,0.000726457,0.0005782771,0.000005876295,0.0009749432,0.001534973],"genre_scores_gemma":[0.9957727,0.000003374061,0.00329848,0.0001161702,0.0002105922,0.0000561721,0.00002137227,0.00006445384,0.0004566874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06769107,"threshold_uncertainty_score":0.6543389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009901399675529353,"score_gpt":0.2109620677389573,"score_spread":0.201060668063428,"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."}}