{"id":"W4391768732","doi":"10.1109/jsyst.2024.3359427","title":"Cyberattack Detection for a Class of Nonlinear Multiagent Systems Using Set-Membership Fuzzy Filtering","year":2024,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministère de la Défense Nationale","keywords":"Ellipsoid; Intersection (aeronautics); Computer science; Nonlinear system; Bounded function; Fuzzy set; Fuzzy logic; Set (abstract data type); Data mining; State (computer science); Fuzzy control system; Control theory (sociology); Algorithm; Artificial intelligence; Mathematics; Control (management); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159983,0.000702781,0.0008547438,0.0006353568,0.0005933707,0.0009586342,0.0006797464,0.0009913391,0.000437835],"category_scores_gemma":[0.003028116,0.0002344405,0.0007822124,0.0004925423,0.0008833514,0.001263406,0.0006351615,0.0008781391,0.00007686325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009247776,"about_ca_system_score_gemma":0.0005021189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006025498,"about_ca_topic_score_gemma":0.002709302,"domain_scores_codex":[0.9992672,0.0001351964,0.00004884224,0.0002160322,0.0002709376,0.00006188504],"domain_scores_gemma":[0.9986344,0.0008008931,0.0002165717,0.00008527901,0.0002320854,0.00003069474],"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":[0.0001500032,0.0001161456,0.003351479,0.0002132193,0.0001581638,0.0003284843,0.0004071024,0.8414721,0.01179633,0.0342992,0.0006221554,0.1070856],"study_design_scores_gemma":[0.000002426978,0.00001962561,0.0002452259,0.000003331394,0.000006331493,0.00001617226,0.000008900907,0.9971927,0.0005053362,0.001855535,0.0001398799,0.000004589233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02928327,0.0002868683,0.9691817,0.00009406933,0.00003094366,0.00002666065,0.00001308469,0.00007154862,0.001011924],"genre_scores_gemma":[0.9396914,0.0004309067,0.05815918,0.00005090575,0.00005919384,0.00006932814,0.00004997292,0.00001231333,0.001476916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006025498,"threshold_uncertainty_score":0.01198083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083950397150554,"score_gpt":0.3006093634145903,"score_spread":0.2397698594430847,"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."}}