{"id":"W4406200014","doi":"10.2139/ssrn.5090068","title":"Security Risk Assessment in Iot Environments: A Taxonomy and Survey","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ; University of Regina","funders":"","keywords":"Internet of Things; Computer security; Computer science; Cyberspace; Taxonomy (biology); Risk management; Risk analysis (engineering); Security management; Data science; The Internet; Business; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006176228,0.0002887128,0.0003544058,0.0003119881,0.000194324,0.000379421,0.00112013,0.0002353898,0.0000102437],"category_scores_gemma":[0.00006246022,0.0002854845,0.0001052092,0.000199893,0.00004324492,0.0003510532,0.001262182,0.007323388,0.000008129125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872489,"about_ca_system_score_gemma":0.004437648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009799736,"about_ca_topic_score_gemma":0.005901816,"domain_scores_codex":[0.9964623,0.0006693565,0.0005972238,0.0004210107,0.0003738022,0.001476243],"domain_scores_gemma":[0.9987337,0.00009756225,0.0005034136,0.0005145369,0.00004834935,0.0001024195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005140902,0.0005333131,0.1550633,0.0001039166,0.0005810742,0.00001559577,0.002796835,0.001535118,0.000001851289,0.7045903,0.0004771815,0.1342501],"study_design_scores_gemma":[0.00211918,0.000206378,0.173752,0.0001704917,0.00004441409,0.0001482088,0.0005900955,0.06255456,0.00001695607,0.7421044,0.0173437,0.000949676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289096,0.003260448,0.8586696,0.001005108,0.001063035,0.000894892,0.00007279573,0.00006638751,0.006058151],"genre_scores_gemma":[0.9858667,0.01147085,0.001966178,0.0002252451,0.00006517689,0.00005317807,0.00002013955,0.000007125666,0.0003254497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8569571,"threshold_uncertainty_score":0.9999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112154891627725,"score_gpt":0.2501905155158855,"score_spread":0.2390689665996082,"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."}}