{"id":"W4404130135","doi":"10.1145/3689933.3690837","title":"Auto-CIDS: An Autonomous Intrusion Detection System for Vehicular Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Intrusion detection system; Computer security","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":[0.0005080354,0.0004784436,0.00039373,0.0004482101,0.0002438498,0.0003825706,0.001135918,0.0003672778,0.0009692901],"category_scores_gemma":[0.0009694702,0.000209148,0.0002095276,0.0001843618,0.0004437746,0.0005871623,0.00091469,0.0005968453,0.0003564232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007077553,"about_ca_system_score_gemma":0.0008393555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003541571,"about_ca_topic_score_gemma":0.004480293,"domain_scores_codex":[0.9997876,0.00003839789,0.00001355019,0.00006445479,0.00006440933,0.00003157067],"domain_scores_gemma":[0.9997427,0.00005511712,0.00004325775,0.00004828568,0.00006942888,0.00004121996],"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":[0.0006007538,0.0003374511,0.01194372,0.0002224914,0.0001444948,0.0003483564,0.0002609666,0.5546497,0.03610706,0.008925004,0.0165586,0.3699014],"study_design_scores_gemma":[0.00002364738,0.000105863,0.0007236023,0.000004910913,0.000009326904,0.00005572204,0.00001255944,0.9883533,0.005784486,0.001046257,0.003869489,0.00001079648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2018895,0.0005078331,0.760908,0.0004594405,0.000314728,0.0003317842,0.0004978941,0.02684741,0.008243429],"genre_scores_gemma":[0.9151552,0.0001008543,0.08104046,0.0001549927,0.00001894623,0.00009196976,0.0005346045,0.0001003994,0.002802635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003541571,"threshold_uncertainty_score":0.007041872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352472734767448,"score_gpt":0.2316572170452856,"score_spread":0.2181324896976111,"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."}}