{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588076,0.001003596,0.00114664,0.001356825,0.000487374,0.0006919045,0.001519248,0.001024602,0.001747212],"category_scores_gemma":[0.001331978,0.0004295202,0.0006446037,0.001072485,0.0002551935,0.001313486,0.0007528662,0.001503844,0.0008660705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008757276,"about_ca_system_score_gemma":0.0007684566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008214458,"about_ca_topic_score_gemma":0.0083107,"domain_scores_codex":[0.9995773,0.0000500061,0.00002938765,0.0001490846,0.0001123872,0.00008171751],"domain_scores_gemma":[0.999566,0.0001284718,0.00004621864,0.00003914617,0.0001842608,0.00003593454],"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":[0.0006319199,0.0006927778,0.008110036,0.0002005163,0.0003607658,0.0004846873,0.000155975,0.1096976,0.03892099,0.001368887,0.01219478,0.8271812],"study_design_scores_gemma":[0.00001406946,0.0001287141,0.001142768,0.000009245654,0.00002997592,0.000106488,0.00001749734,0.9880155,0.008751736,0.000750942,0.001013653,0.00001936137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2179556,0.001856362,0.7379334,0.0009547466,0.0007327009,0.000228871,0.001466203,0.03424045,0.00463162],"genre_scores_gemma":[0.8006353,0.0004579435,0.192086,0.0003978039,0.0001005381,0.0001836765,0.001453945,0.0002176045,0.004467343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008214458,"threshold_uncertainty_score":0.01633328,"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."}}