{"id":"W4388821267","doi":"10.1109/idsta58916.2023.10317861","title":"A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Concordia University","funders":"","keywords":"SCADA; Computer science; Industrial control system; Intrusion detection system; Deep learning; Convolutional neural network; Big data; Artificial intelligence; Artificial neural network; The Internet; Multilayer perceptron; Data mining; Cyber-attack; Machine learning; Real-time computing; Control (management); Computer security; Engineering; Operating system","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":[0.0005369951,0.0007890155,0.0007400665,0.001281741,0.0004055556,0.0005218355,0.0007503289,0.0006453826,0.002986088],"category_scores_gemma":[0.0008473187,0.0002268305,0.0003596243,0.0006622905,0.0002509804,0.001119612,0.0005847168,0.0005890502,0.001073825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487726,"about_ca_system_score_gemma":0.0005303313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603858,"about_ca_topic_score_gemma":0.002290476,"domain_scores_codex":[0.9995252,0.00005332712,0.00004110752,0.0001348028,0.0002007422,0.00004481891],"domain_scores_gemma":[0.9996524,0.00006639575,0.00006387117,0.00007471271,0.000106714,0.00003594505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001661554,0.001135143,0.02891161,0.000627543,0.0004138469,0.001045857,0.0002112725,0.06980238,0.1276077,0.006561778,0.05139472,0.7106266],"study_design_scores_gemma":[0.0001050492,0.0007016372,0.02134907,0.00004909212,0.0001030011,0.00067101,0.00004691377,0.8841565,0.06804102,0.002872392,0.02183791,0.00006631353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.342916,0.001206136,0.5623896,0.0009003296,0.0009346072,0.00147386,0.006383018,0.0641728,0.01962355],"genre_scores_gemma":[0.8175084,0.0003820067,0.165445,0.0005316389,0.00008282578,0.0005426217,0.006635921,0.0002634237,0.008608223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002986088,"threshold_uncertainty_score":0.00998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521723650585784,"score_gpt":0.2357813547196155,"score_spread":0.2105641182137577,"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."}}