{"id":"W4379383105","doi":"10.32920/23296244.v1","title":"A Mutation Framework for Evaluating Security Analysis tools in IoT Applications","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Internet of Things; Context (archaeology); Taint checking; Set (abstract data type); Sensitivity (control systems); Domain (mathematical analysis); Security analysis; Process (computing); Path (computing); Computer security; Computer network; Engineering; Software; Operating system; Programming language; Mathematics","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":[0.007400299,0.001721382,0.000953118,0.004188092,0.0009645114,0.002811654,0.002144387,0.001382523,0.001017162],"category_scores_gemma":[0.01983816,0.0006760664,0.002208866,0.001177277,0.003771427,0.002742495,0.002097637,0.002107907,0.0002683646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127675,"about_ca_system_score_gemma":0.003486741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006608603,"about_ca_topic_score_gemma":0.004542576,"domain_scores_codex":[0.9883846,0.003632505,0.0009825436,0.001230341,0.005181958,0.0005880207],"domain_scores_gemma":[0.9866137,0.007310288,0.001441414,0.001727954,0.002603251,0.0003032944],"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":[0.000473064,0.0006660674,0.01483993,0.0005274343,0.0002999618,0.0007675342,0.001042553,0.4634742,0.1038083,0.1924486,0.002772006,0.2188803],"study_design_scores_gemma":[0.00004946017,0.0003184656,0.00131857,0.00008328557,0.0001055603,0.0002524573,0.0001125287,0.9069796,0.03701725,0.05049212,0.003191664,0.00007914429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04769652,0.0001123755,0.9453534,0.0002005897,0.00002532804,0.0003898069,0.000154328,0.004027017,0.00204066],"genre_scores_gemma":[0.3653585,0.00009587745,0.6324332,0.000148116,0.0000263329,0.0004091545,0.0002870669,0.0004154821,0.0008263262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007400299,"threshold_uncertainty_score":0.03913701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128613673830964,"score_gpt":0.4396841619269415,"score_spread":0.3268227945438451,"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."}}