{"id":"W4409433157","doi":"10.3390/asi8020052","title":"Real-Time Large-Scale Intrusion Detection and Prevention System (IDPS) CICIoT Dataset Traffic Assessment Based on Deep Learning","year":2025,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Computer science; Scale (ratio); Deep learning; Intrusion prevention system; Intrusion; Artificial intelligence; Data mining; Cartography; Geography; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001899264,0.0002416858,0.0002959886,0.0007259226,0.0007198596,0.0002741348,0.0002706117,0.0002289678,0.000008213026],"category_scores_gemma":[0.00002101034,0.0002467524,0.00003632979,0.00227824,0.00002120762,0.0003465495,0.0001470847,0.0003479719,0.0000419969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231607,"about_ca_system_score_gemma":0.00006483851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001678096,"about_ca_topic_score_gemma":0.00002152268,"domain_scores_codex":[0.9975597,0.0002961805,0.0007110158,0.0006910496,0.0004501238,0.0002918857],"domain_scores_gemma":[0.9986851,0.0001300864,0.0004316557,0.0005394986,0.0001716776,0.00004203961],"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":[0.0003167172,0.000296501,0.00007440445,0.001523793,0.00008519344,0.000007061231,0.0004385193,0.04391146,0.09186465,0.4224045,0.000967358,0.4381098],"study_design_scores_gemma":[0.0008209387,0.0002088817,0.0009191693,0.0004721944,0.0000230656,0.000007245146,0.0003089883,0.9916432,0.003298713,0.0001426974,0.00193029,0.0002246397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1455751,0.00001055791,0.8475342,0.00008445869,0.0006427993,0.0008819308,0.0000115504,0.0007158173,0.004543524],"genre_scores_gemma":[0.9943869,0.00000667545,0.004798919,0.0000808133,0.0001155169,0.0001767369,0.0003634281,0.00001564052,0.00005535879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477317,"threshold_uncertainty_score":0.9999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007250121245035593,"score_gpt":0.2454738275213302,"score_spread":0.2382237062762946,"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."}}