{"id":"W4380030059","doi":"10.1109/icit58465.2023.10143147","title":"A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Modality (human–computer interaction); Modalities; Computer science; Industrial control system; Modal; Cyber-physical system; Computer security; Cyber-attack; Control (management); Real-time computing; Data mining; Artificial intelligence; 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":[0.0005345242,0.0006879518,0.000532598,0.0004717406,0.0002593829,0.0006089265,0.000615205,0.0008269583,0.001294222],"category_scores_gemma":[0.001191298,0.0002726421,0.0006945629,0.0002912251,0.0003665539,0.0009018476,0.0008623814,0.001184771,0.0002719168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532891,"about_ca_system_score_gemma":0.0005972314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197604,"about_ca_topic_score_gemma":0.005672581,"domain_scores_codex":[0.9996545,0.00007582807,0.00001161166,0.0001120183,0.00008734562,0.00005868644],"domain_scores_gemma":[0.9997073,0.0001177761,0.00003094232,0.00003238635,0.00008809361,0.00002346419],"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":[0.0004855451,0.0004994317,0.00530725,0.0001521423,0.0001851265,0.0003569247,0.0001337142,0.6937559,0.02937739,0.00312205,0.003970464,0.2626541],"study_design_scores_gemma":[0.000002735171,0.00004475348,0.0006282746,0.000003487571,0.000006158497,0.00001738122,0.000007629522,0.9965053,0.002127118,0.0004854371,0.0001670651,0.00000483539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3282509,0.0012886,0.6628256,0.001089338,0.0001722559,0.00007892799,0.0003829128,0.002132488,0.003778994],"genre_scores_gemma":[0.9628283,0.0001878755,0.03344774,0.0001791105,0.00002855091,0.00003353952,0.000325946,0.00003070108,0.002938172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007197604,"threshold_uncertainty_score":0.01431143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002418785552789,"score_gpt":0.2604232552482743,"score_spread":0.2203990673927464,"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."}}