{"id":"W4407169756","doi":"10.1109/iciics63763.2024.10859437","title":"Network Intrusion Detection System Based on Separable Convolution AutoEncoder with Long Short-Term Memory","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoencoder; Convolution (computer science); Term (time); Computer science; Separable space; Intrusion detection system; Artificial intelligence; Pattern recognition (psychology); Mathematics; Artificial neural network","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":[0.0005719468,0.0002413567,0.0001978051,0.0002183864,0.0004236652,0.0004604585,0.0003147628,0.000163494,0.00007033375],"category_scores_gemma":[0.000005512378,0.0001857863,0.00008112064,0.00106825,0.00004314602,0.0007592797,0.00009205192,0.0003550554,0.0001785464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278857,"about_ca_system_score_gemma":0.00009168332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000536071,"about_ca_topic_score_gemma":0.0001749149,"domain_scores_codex":[0.9979605,0.0001594153,0.0002921487,0.00068362,0.0004892049,0.0004151147],"domain_scores_gemma":[0.9990846,0.000119533,0.00004914197,0.0005409163,0.00008664237,0.0001191574],"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":[0.0004088205,0.000160741,0.0003860698,0.0006114854,0.00009077268,0.0003452603,0.0003953709,0.6705082,0.002483377,0.03212579,0.006180213,0.2863039],"study_design_scores_gemma":[0.0001764422,0.0004756955,0.0005661934,0.0005509779,0.00001987074,0.00009723381,0.00001491739,0.9913602,0.005208027,0.0002104878,0.001057473,0.0002624896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01900064,0.0002474232,0.967326,0.0001958228,0.002709934,0.0003742712,6.326115e-7,0.001905369,0.008239851],"genre_scores_gemma":[0.9934871,0.00001071146,0.005122482,0.0002713462,0.0005593302,0.00005305935,0.000004771118,0.0000226015,0.0004685797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744865,"threshold_uncertainty_score":0.7576144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015340850677944,"score_gpt":0.2178852835546301,"score_spread":0.2077318750478507,"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."}}