{"id":"W4417244321","doi":"10.3390/app152413073","title":"AI-Powered Cybersecurity Models for Training and Testing IoT Devices","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suite; Robustness (evolution); Internet of Things; Intrusion detection system; Benchmark (surveying); Deep learning; Attack model","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":[0.002683263,0.001508674,0.0005026548,0.001375195,0.0005177435,0.001330124,0.002184364,0.00134251,0.001949391],"category_scores_gemma":[0.01156667,0.0004394316,0.0007280736,0.0009445066,0.00102335,0.002434417,0.001448695,0.002950445,0.0009792607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557728,"about_ca_system_score_gemma":0.001459864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006728251,"about_ca_topic_score_gemma":0.009414697,"domain_scores_codex":[0.9987426,0.0003753687,0.000122644,0.0003352828,0.0003186486,0.000105506],"domain_scores_gemma":[0.9951501,0.002512189,0.0004883104,0.0008456249,0.0008701049,0.0001336714],"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":[0.0001216769,0.0003253852,0.01637997,0.0001919347,0.0001456507,0.00006849452,0.0001098677,0.8552742,0.002210055,0.007040454,0.005843988,0.1122883],"study_design_scores_gemma":[0.000009369067,0.0000659221,0.00127641,0.00003937658,0.00001434773,0.00003665564,0.0000245217,0.9894223,0.001868807,0.005618391,0.001613872,0.00001003123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2869143,0.00261531,0.6823506,0.003103089,0.0004296834,0.0006661272,0.002954162,0.005789989,0.01517666],"genre_scores_gemma":[0.8360888,0.0007062189,0.153351,0.0007146338,0.0001049627,0.0005098383,0.004681122,0.00017381,0.00366973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006728251,"threshold_uncertainty_score":0.01419061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229602884487086,"score_gpt":0.2815781605367261,"score_spread":0.2292821316918552,"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."}}