{"id":"W3170803805","doi":"10.1145/3460620.3460742","title":"IoT Cyber-Attack Detection: A Comparative Analysis","year":2021,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Malware; Random forest; Cyber threats; Support vector machine; Internet of Things; Computer security; Cyber-attack; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167917,0.00008832888,0.0001829,0.0001307109,0.0001867772,0.0001743223,0.0002357248,0.00005222898,0.0006137411],"category_scores_gemma":[0.00001042831,0.00008216286,0.0001515768,0.002826175,0.00002191895,0.0002136071,0.0001582075,0.0001260106,0.0002153241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194451,"about_ca_system_score_gemma":0.00003142196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003832413,"about_ca_topic_score_gemma":0.001318838,"domain_scores_codex":[0.9990211,0.0001067859,0.0001670155,0.0003464788,0.0001987033,0.0001599486],"domain_scores_gemma":[0.9992266,0.0000620327,0.00004774079,0.0004238884,0.000165746,0.00007394622],"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":[0.00009888146,0.001555473,0.002033632,0.00004811176,0.005781239,0.0004444769,0.01425149,0.07049412,0.03499549,0.2727812,0.03636638,0.5611495],"study_design_scores_gemma":[0.000236731,0.00008748188,0.003721546,0.000004477653,0.00009282896,0.00004615588,0.0001267275,0.7401459,0.1684613,0.00139889,0.08541166,0.0002663911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09877945,0.0001488287,0.8647689,0.0005232643,0.0004443311,0.00004968332,5.352209e-7,0.0002238923,0.03506109],"genre_scores_gemma":[0.9865656,0.00001292618,0.0108688,0.0004915179,0.00009438041,0.000006306991,0.000001523636,0.000001633732,0.001957233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8877862,"threshold_uncertainty_score":0.6720034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271182592020509,"score_gpt":0.2841453217674208,"score_spread":0.2514334958472157,"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."}}