{"id":"W4281626928","doi":"10.1109/icesic53714.2022.9783500","title":"An Anomaly Based Network Intrusion Detection System Using LSTM and GRU","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Computer science; Benchmark (surveying); Computer security; Anomaly detection; Network security; The Internet; Anomaly (physics); Intrusion; Intrusion prevention system; Anomaly-based intrusion detection system; Data mining; Artificial intelligence; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006322641,0.0001170349,0.0001265031,0.0001232042,0.001226334,0.0001800776,0.0003145576,0.0000495553,0.00007006378],"category_scores_gemma":[0.000004142721,0.0001186926,0.00003679983,0.0007096929,0.00002017752,0.0005387419,0.000317852,0.0002012187,0.000003449554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556971,"about_ca_system_score_gemma":0.00003466611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002564946,"about_ca_topic_score_gemma":0.00008287919,"domain_scores_codex":[0.9985417,0.0003188569,0.0002057675,0.0004078156,0.00027861,0.0002472699],"domain_scores_gemma":[0.9993418,0.00003996272,0.00009680638,0.0003831048,0.0000391069,0.00009916363],"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":[0.0002770371,0.000288801,0.002462043,0.0001227423,0.00003721104,0.00008018219,0.0008815671,0.5109982,0.05737249,0.04871912,0.0006136244,0.3781469],"study_design_scores_gemma":[0.0002118481,0.0003666221,0.000554696,0.00001051279,0.000005916267,0.0001100048,0.00007981086,0.9933159,0.002347805,0.0003363069,0.002503734,0.0001567848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3861456,0.0000675768,0.6120412,0.00004720866,0.0009500815,0.0001299667,5.203225e-7,0.0003213116,0.000296579],"genre_scores_gemma":[0.9813047,0.000002297136,0.01807003,0.0003283541,0.0002503982,0.00001651044,0.000001567421,0.000009269369,0.00001688462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5951591,"threshold_uncertainty_score":0.9432094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011481475650194,"score_gpt":0.2145902310997025,"score_spread":0.2031087554495085,"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."}}