{"id":"W2906835135","doi":"10.1109/iecon.2018.8592761","title":"A Behavior Profiling Model for User Authentication in IoT Networks based on App Usage Patterns","year":2018,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Usability; Authentication (law); Multi-factor authentication; Lightweight Extensible Authentication Protocol; Computer security; Authentication protocol; Generic Bootstrapping Architecture; Computer network; Human–computer interaction","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":[0.002408905,0.0009851421,0.0007579312,0.001730273,0.000726403,0.001502161,0.001487741,0.001115169,0.001978796],"category_scores_gemma":[0.007610315,0.0003778261,0.001202613,0.001022841,0.0009497192,0.003184384,0.001054561,0.001138855,0.001130203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469178,"about_ca_system_score_gemma":0.001205608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007476422,"about_ca_topic_score_gemma":0.005346303,"domain_scores_codex":[0.9978635,0.0008000465,0.0001848371,0.000499487,0.0004466103,0.0002056567],"domain_scores_gemma":[0.9954458,0.00207002,0.0006172972,0.0005637503,0.001123016,0.0001800521],"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":[0.001451088,0.001174522,0.04822299,0.000336527,0.0002976884,0.0009629516,0.002350833,0.6194447,0.01879157,0.1100253,0.003769874,0.193172],"study_design_scores_gemma":[0.000006876465,0.00007724346,0.001660881,0.00001209304,0.00002709236,0.0001043416,0.00004950677,0.9911318,0.0006740746,0.005766768,0.0004718721,0.00001730133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08300403,0.0001729655,0.9100173,0.0005560365,0.00006529502,0.0003516413,0.0002666597,0.001523971,0.004042041],"genre_scores_gemma":[0.932076,0.0001876556,0.06361298,0.00009338679,0.00003346828,0.00035542,0.0002686221,0.00004278777,0.003329653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007476422,"threshold_uncertainty_score":0.01486582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478932568494347,"score_gpt":0.2903306121658959,"score_spread":0.2555412864809524,"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."}}