{"id":"W4386337739","doi":"10.1007/978-3-031-37717-4_95","title":"Modeling Internet-of-Things (IoT) Behavior for Enforcing Security and Privacy Policies","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Internet of Things; Computer science; Computer security; Leverage (statistics); Abstraction; Security policy; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000564745,0.0003566043,0.0006461841,0.0002629974,0.0001250366,0.0002587186,0.0003727213,0.0006653837,0.000001569265],"category_scores_gemma":[0.00005271333,0.0003272253,0.0001174389,0.0001110832,0.00006533667,0.0001842449,0.0004083899,0.0006143737,5.267099e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005138887,"about_ca_system_score_gemma":0.00002611957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008342248,"about_ca_topic_score_gemma":0.0001374553,"domain_scores_codex":[0.9981745,0.00003745025,0.0006504779,0.0005718028,0.0002190363,0.0003467442],"domain_scores_gemma":[0.998825,0.0003530642,0.0002734602,0.0003621002,0.0001034494,0.0000829472],"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":[0.0001172078,0.00003799953,0.000296045,0.001989906,0.0001913483,0.00003698857,0.01899518,0.4717908,0.00004759545,0.2636645,0.0002321129,0.2426003],"study_design_scores_gemma":[0.0002174366,0.0001272643,0.000004507107,0.001266948,0.00002651862,0.0000351471,0.000006661654,0.9728538,0.0000096824,0.02369196,0.001447025,0.0003130546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00420075,0.00650145,0.986262,0.0000569263,0.001361032,0.0008868962,0.00000407685,0.0001261478,0.000600775],"genre_scores_gemma":[0.9955213,0.001112767,0.001359181,0.0001046698,0.000655265,0.00006929517,0.00001303067,0.0000564631,0.00110804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913206,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614606266808119,"score_gpt":0.2501974496185566,"score_spread":0.2240513869504754,"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."}}