{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009738387,0.0001286375,0.0002199592,0.0001604104,0.0002583933,0.00006542901,0.0003596088,0.0002185632,0.00001667396],"category_scores_gemma":[0.00006591324,0.0001172068,0.00012585,0.001478558,0.00002708975,0.0002067841,0.0002613472,0.0001753004,0.00004848393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006866424,"about_ca_system_score_gemma":0.00003997537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001224191,"about_ca_topic_score_gemma":0.0001608773,"domain_scores_codex":[0.9985602,0.0001123022,0.0003838294,0.0003447965,0.0002665251,0.0003322939],"domain_scores_gemma":[0.9990531,0.0002021223,0.0001632411,0.0003724718,0.0001321929,0.00007690478],"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":[0.0006665444,0.0001773214,0.0008650362,0.0003427338,0.0001502981,0.00001257675,0.001817608,0.008604861,0.01086096,0.15566,0.06216655,0.7586756],"study_design_scores_gemma":[0.001469458,0.0006312875,0.0002725245,0.0001824223,0.00002180248,0.00002351404,0.0001220281,0.8731154,0.07003659,0.01302638,0.04075046,0.0003481233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4040358,0.00004110897,0.5825139,0.0003657065,0.008280104,0.001054671,0.000005931341,0.001448864,0.002253976],"genre_scores_gemma":[0.9970233,0.000009293582,0.001778223,0.00004668302,0.0009574082,0.00005886131,0.000004017997,0.00001035909,0.0001118591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8645105,"threshold_uncertainty_score":0.4779554,"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."}}