{"id":"W2486864234","doi":"","title":"Providing SCADA Network Data Sets for Intrusion Detection Research.","year":2016,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"SCADA; Intrusion detection system; Computer science; Data mining; Intrusion prevention system; Computer security; Engineering","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":[0.004676324,0.0002943834,0.0002969821,0.0004741766,0.00120234,0.0004697038,0.002563484,0.0003621334,0.00001632337],"category_scores_gemma":[0.0008590948,0.0002338214,0.0001133718,0.00136149,0.000121936,0.002178638,0.002110847,0.0004851543,0.00003493714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005759741,"about_ca_system_score_gemma":0.000243633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165932,"about_ca_topic_score_gemma":0.004758199,"domain_scores_codex":[0.9959695,0.0004497277,0.0005321862,0.001104816,0.0006829118,0.001260905],"domain_scores_gemma":[0.9958023,0.0007671206,0.0002348163,0.002532264,0.0003402971,0.0003231625],"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":[0.0001887167,0.0001052035,0.000539829,0.00003532202,0.00002993105,0.00001271273,0.0001243672,0.0003762822,0.02886438,0.04749786,0.02332412,0.8989013],"study_design_scores_gemma":[0.0008237106,0.0005747056,0.001516619,0.0002637212,0.00001483666,0.0001153539,0.00002199714,0.7751717,0.04896796,0.0713865,0.1005926,0.000550319],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01735827,0.000607329,0.9716154,0.007027782,0.0007658011,0.001370147,0.00002897931,0.001064821,0.000161408],"genre_scores_gemma":[0.834797,0.0004774309,0.1616998,0.0008540334,0.001042174,0.0006711291,0.00001843378,0.00006042878,0.000379558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.898351,"threshold_uncertainty_score":0.9534959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562400056737784,"score_gpt":0.2967048532413743,"score_spread":0.2510808526739965,"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."}}