{"id":"W3216115166","doi":"10.1109/isncc52172.2021.9615816","title":"Federated Learning for Anomaly-Based Intrusion Detection","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Anomaly detection; Intrusion detection system; Cloud computing; Node (physics); Artificial intelligence; Anomaly (physics); Intrusion; Deep learning; Anomaly-based intrusion detection system; Machine learning; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003255504,0.0007916994,0.001115427,0.002014779,0.0005862273,0.001158343,0.001682212,0.001136476,0.0008219511],"category_scores_gemma":[0.006485436,0.00030941,0.0007964536,0.001353612,0.0008350314,0.001794207,0.001138674,0.001483985,0.0002838736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440076,"about_ca_system_score_gemma":0.001086702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004047312,"about_ca_topic_score_gemma":0.003552519,"domain_scores_codex":[0.998055,0.0005701208,0.0001648357,0.0005433882,0.0004816583,0.0001851042],"domain_scores_gemma":[0.9967166,0.001254817,0.0003021548,0.0008508987,0.0007519776,0.0001235334],"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":[0.0005422519,0.0006602148,0.01045868,0.0001173352,0.000289321,0.0001944554,0.0001206939,0.4904525,0.008849985,0.005340867,0.003253982,0.4797197],"study_design_scores_gemma":[0.000005036917,0.00005570021,0.0005212514,0.000003531549,0.000009691836,0.00004635023,0.000008645635,0.9921886,0.003261395,0.003455322,0.0004387493,0.000005867277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08915833,0.0004303831,0.9024325,0.0003494661,0.000102437,0.00008323322,0.0002248798,0.006221702,0.0009971907],"genre_scores_gemma":[0.8224872,0.0001388052,0.1755214,0.0001321714,0.00003810677,0.00007935515,0.0004885524,0.00008150613,0.00103284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004047312,"threshold_uncertainty_score":0.01721692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131673379971864,"score_gpt":0.2308876022390461,"score_spread":0.2177202642418597,"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."}}