{"id":"W4404734879","doi":"10.1007/s10207-024-00935-8","title":"Analysis of machine learning-based approaches for securing the Internet of Things in the smart industry: a multivocal state of knowledge review","year":2024,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Internet of Things; State (computer science); Cryptography; The Internet; Computer security; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003263616,0.00009611773,0.0002886475,0.0006674366,0.00002529711,0.00007967986,0.001014186,0.00006142839,0.00001553413],"category_scores_gemma":[0.00035966,0.0000585813,0.0003081064,0.001012774,0.00006822848,0.001294331,0.000107926,0.0005848148,7.977225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000553017,"about_ca_system_score_gemma":0.0001192212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008520328,"about_ca_topic_score_gemma":0.00004535816,"domain_scores_codex":[0.9979268,0.0002116343,0.001140267,0.00007529511,0.0005583686,0.00008760988],"domain_scores_gemma":[0.9975826,0.0005812267,0.0009954401,0.0001417758,0.0006758912,0.00002304818],"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":[0.0008602081,0.001016948,0.005227224,0.004649823,0.004371989,0.00001171729,0.212247,0.1201602,0.00007744532,0.08754448,0.002366285,0.5614668],"study_design_scores_gemma":[0.0002998787,0.0001400121,0.001101006,0.001018956,0.00009492174,0.00001595985,0.0001478382,0.9866671,0.0008956866,0.001057747,0.008504431,0.00005644354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2045034,0.006544475,0.781792,0.004816869,0.001027146,0.00060351,0.00005689837,0.00002565408,0.0006300409],"genre_scores_gemma":[0.9987621,0.0003626306,0.0005837329,0.0002328293,0.00002953769,0.000007535746,0.00001478196,0.000002520686,0.000004275861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8665069,"threshold_uncertainty_score":0.2540762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247317080774481,"score_gpt":0.2818980023388269,"score_spread":0.2571662942613788,"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."}}