{"id":"W4389543387","doi":"10.1109/csnet59123.2023.10339748","title":"IDS with deep learning techniques","year":2023,"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":"Concordia University","funders":"","keywords":"Computer science; Intrusion detection system; Artificial intelligence; Deep learning; Machine learning; Artificial neural network; Deep neural networks; Intrusion; Binary number; Recurrent neural network; Multiclass classification; Binary classification; Data mining; Support vector machine","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":[0.0009369115,0.0006964404,0.0007066554,0.000802053,0.0002605881,0.001107535,0.001018528,0.000972208,0.001752214],"category_scores_gemma":[0.00220539,0.0003892193,0.0005515715,0.0006321655,0.0004002105,0.001890753,0.001099676,0.001637344,0.0009397854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008200555,"about_ca_system_score_gemma":0.0006863179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737518,"about_ca_topic_score_gemma":0.001753749,"domain_scores_codex":[0.9994022,0.0001268802,0.00004463996,0.0001230679,0.0002353161,0.00006785509],"domain_scores_gemma":[0.9994211,0.0002142168,0.00006125895,0.0001149255,0.0001680513,0.00002036612],"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":[0.0001332421,0.0001859397,0.002268533,0.0003007328,0.0001970556,0.0001461115,0.0001103343,0.3003542,0.0138049,0.04527061,0.009150782,0.6280775],"study_design_scores_gemma":[0.000006974695,0.00004917156,0.000196072,0.00002330719,0.00002182027,0.00008404304,0.000009715002,0.9770125,0.004956398,0.01248587,0.005142516,0.00001162164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01119898,0.001889457,0.9778388,0.0007115725,0.00029784,0.00006006333,0.0001088119,0.002352272,0.005542279],"genre_scores_gemma":[0.5428579,0.002440669,0.4418914,0.0008213757,0.0002396967,0.0001347542,0.0003814897,0.0001235978,0.01110899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001752214,"threshold_uncertainty_score":0.005949974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898844738727948,"score_gpt":0.2242171917934794,"score_spread":0.2152287444061999,"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."}}