{"id":"W2147066793","doi":"10.1109/tpwrd.2010.2050076","title":"An Intrusion Detection System for IEC61850 Automated Substations","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada); Western University","funders":"","keywords":"Intrusion detection system; Address Resolution Protocol; Network packet; Computer security; Sniffing; Computer science; Host-based intrusion detection system; Process (computing); Protocol (science); Anomaly-based intrusion detection system; Packet analyzer; Intrusion; Computer network; Embedded system; Engineering; Real-time computing; The Internet; Internet Protocol; Intrusion prevention system; 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":[0.0003147859,0.0002126141,0.0001728945,0.0003838305,0.0008807549,0.0002297917,0.0004598337,0.000241979,0.00005125591],"category_scores_gemma":[0.000005286252,0.0002187516,0.0001556716,0.0006153556,0.00005020604,0.0012084,0.00000259405,0.0004429335,0.0001112262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021656,"about_ca_system_score_gemma":0.00006090469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007920343,"about_ca_topic_score_gemma":0.0005222356,"domain_scores_codex":[0.9984326,0.00009252033,0.0003441196,0.0005266157,0.0002810658,0.0003230408],"domain_scores_gemma":[0.9985862,0.000149511,0.0001138384,0.0006913097,0.0002826064,0.0001765692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003261881,0.0008354079,0.000003054218,0.00006527122,0.00008689315,0.00001182888,0.001743841,0.02195434,0.7640583,0.003126423,0.0006434168,0.2071451],"study_design_scores_gemma":[0.0005376867,0.0005676678,0.00009268638,0.00002470106,0.00002411901,0.00006118671,0.00008367652,0.6848499,0.3112416,0.0001658049,0.002076464,0.0002744925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601105,0.000005727747,0.7314855,0.00007163702,0.005995915,0.0003596979,0.00002154455,0.001841103,0.0001084018],"genre_scores_gemma":[0.9881743,0.0000101601,0.01136508,0.0001426301,0.00009220602,0.0001414023,0.000004632834,0.00002510915,0.00004447032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7280638,"threshold_uncertainty_score":0.8920431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008661334531429392,"score_gpt":0.2332676274716758,"score_spread":0.2246062929402464,"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."}}