{"id":"W3146884116","doi":"10.18280/ria.350102","title":"Attack and Anomaly Detection in IoT Networks Using Supervised Machine Learning Approaches","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Computer science; Machine learning; Artificial intelligence; Feature (linguistics); Random forest; Denial-of-service attack; Decision tree; Set (abstract data type); Support vector machine; Internet of Things; Intrusion detection system; Data mining; The Internet; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009057848,0.0004838523,0.0005929004,0.001576957,0.0003692137,0.0007112097,0.000625719,0.0005358467,0.0003635423],"category_scores_gemma":[0.00200207,0.0001973135,0.0005685727,0.0008168467,0.0003705687,0.0007949951,0.000427994,0.0005546482,0.0001690619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051259,"about_ca_system_score_gemma":0.0005288188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057849,"about_ca_topic_score_gemma":0.002263656,"domain_scores_codex":[0.9992731,0.0002068384,0.00006260426,0.0001768215,0.0002037801,0.00007677497],"domain_scores_gemma":[0.9985034,0.0006962421,0.000320786,0.0001468235,0.0002835647,0.00004915262],"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":[0.0002136625,0.0005543755,0.03323777,0.000165519,0.0002155742,0.0003642573,0.0002174096,0.527878,0.01090209,0.003972452,0.002191546,0.4200874],"study_design_scores_gemma":[0.000002278518,0.00002391176,0.001402872,0.000004655904,0.000005317088,0.00004039886,0.00002388988,0.9953435,0.001262854,0.001695433,0.0001914435,0.000003435548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1691947,0.0003311228,0.8271908,0.0002280914,0.00004459721,0.000084799,0.0001942669,0.00128533,0.001446321],"genre_scores_gemma":[0.8834346,0.0001697684,0.1149271,0.00004326442,0.00005134597,0.00007709311,0.0004195621,0.00002932289,0.0008480343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002057849,"threshold_uncertainty_score":0.004790306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07656661300283525,"score_gpt":0.257093671594537,"score_spread":0.1805270585917018,"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."}}