{"id":"W4224284455","doi":"10.1145/3530812","title":"Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats","year":2022,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); University of Ottawa","funders":"","keywords":"Computer science; Computer security; Internet of Things; Intrusion detection system; Anomaly detection; Bridging (networking); Open research; Network security; Intrusion; Artificial intelligence; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832932,0.0005941837,0.000916006,0.002239322,0.0004243153,0.002122587,0.0009900606,0.001821193,0.001999975],"category_scores_gemma":[0.003555336,0.000366566,0.0005400991,0.002982527,0.0009602613,0.005303143,0.001026156,0.002660736,0.001349756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008482339,"about_ca_system_score_gemma":0.001679343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009348321,"about_ca_topic_score_gemma":0.001163022,"domain_scores_codex":[0.9991744,0.0002166008,0.00006689662,0.0001181416,0.0003464148,0.00007755335],"domain_scores_gemma":[0.9970096,0.001932582,0.0001511186,0.0001151491,0.0006848109,0.0001067486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002491502,0.00006764581,0.0006270576,0.004995917,0.00005607084,0.0001215918,0.00013037,0.001945482,0.0004145054,0.03671988,0.02330235,0.9315942],"study_design_scores_gemma":[0.00001035508,0.0001695742,0.001799961,0.006481861,0.00008125301,0.001020854,0.0004341562,0.004943271,0.0006488324,0.04971233,0.9346387,0.00005876651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000504576,0.9883263,0.002972063,0.003566707,0.0004936308,0.00001028971,0.00001462273,0.00002762757,0.004084245],"genre_scores_gemma":[0.006324266,0.9888771,0.001746431,0.0008810827,0.001091286,0.00001485318,0.00003377778,0.000009576149,0.001021692],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002239322,"threshold_uncertainty_score":0.009693563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261244866201301,"score_gpt":0.3416907966492521,"score_spread":0.215566310029122,"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."}}