{"id":"W4394787296","doi":"10.1016/j.heliyon.2024.e29410","title":"OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vysoká Škola Bánská - Technická Univerzita Ostrava; Ostravská Univerzita v Ostravě; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission","keywords":"Intrusion detection system; Computer science; Internet of Things; Artificial intelligence; Computer security","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":[0.0008542598,0.0002539628,0.0002620404,0.0002160629,0.000494929,0.0006952917,0.00044198,0.0003722005,0.00001162371],"category_scores_gemma":[0.00008797713,0.000233003,0.0001460468,0.001005213,0.00003537637,0.0004627596,0.0001652886,0.0004841397,0.0001016539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711214,"about_ca_system_score_gemma":0.00004550431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004226529,"about_ca_topic_score_gemma":0.00006241765,"domain_scores_codex":[0.9977837,0.0002618654,0.0003447357,0.000773709,0.0003193003,0.0005166741],"domain_scores_gemma":[0.9985212,0.0005218257,0.00009273918,0.0005798321,0.0001279915,0.0001564042],"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":[0.0001638491,0.00007940163,0.000009936337,0.0009005293,0.0000596552,0.00001679371,0.0009206016,0.02677703,0.003892047,0.3236763,0.0005512648,0.6429526],"study_design_scores_gemma":[0.0002267065,0.0009572229,0.0002132237,0.001276039,0.00002542118,0.00005043675,0.0000265913,0.9266777,0.006097158,0.04168111,0.0224053,0.0003630941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06430571,0.005879411,0.9146917,0.000190874,0.01259925,0.001077161,0.000004273262,0.001033076,0.0002185394],"genre_scores_gemma":[0.9851168,0.0003380802,0.01014596,0.0002271603,0.003621262,0.0003999813,0.000006306411,0.00004085551,0.0001035679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9208111,"threshold_uncertainty_score":0.9501587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631059669510766,"score_gpt":0.2711201478648331,"score_spread":0.2548095511697255,"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."}}