{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002878823,0.001600503,0.0009368311,0.003856499,0.0007238456,0.001697686,0.001990142,0.0007390206,0.01422753],"category_scores_gemma":[0.0145632,0.0008826937,0.0006774521,0.003477444,0.0003189548,0.002555811,0.001449737,0.001338048,0.01196018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008630674,"about_ca_system_score_gemma":0.002655858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03383022,"about_ca_topic_score_gemma":0.04916693,"domain_scores_codex":[0.9977295,0.0004215136,0.0002062351,0.0003147215,0.001132208,0.0001959004],"domain_scores_gemma":[0.9861745,0.002270802,0.0006075467,0.005552044,0.004718697,0.0006764974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009080881,0.000615731,0.0219184,0.0009471338,0.0004178418,0.0005507242,0.0003723734,0.02015097,0.04440486,0.005833275,0.7008986,0.202982],"study_design_scores_gemma":[0.0006170665,0.0003945764,0.06143066,0.0003753323,0.0001842464,0.0006991565,0.0005677821,0.3075291,0.1139278,0.0147709,0.4992247,0.000278702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04398702,0.0007119247,0.2594489,0.00136882,0.0006305022,0.001386899,0.4663439,0.2086716,0.01745036],"genre_scores_gemma":[0.1111857,0.0005514473,0.1812283,0.0001971825,0.0001431587,0.0005617769,0.695219,0.004206467,0.006707044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9980099,"threshold_uncertainty_score":0.06726664,"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."}}