{"id":"W4293192158","doi":"10.5220/0011002600003120","title":"iProfile: Collecting and Analyzing Keystroke Dynamics from Android Users","year":2022,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Thompson Rivers University","funders":"","keywords":"Keystroke dynamics; Computer science; Android (operating system); Keystroke logging; Human–computer interaction; Computer security; Operating system; Password","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":[0.0002578047,0.00007294246,0.0001118836,0.0001012458,0.0004268978,0.0002158061,0.0004013276,0.000017252,0.00009946967],"category_scores_gemma":[0.00001828014,0.00007560647,0.00002927134,0.0004255426,0.0000140637,0.0001925035,0.0003960484,0.0001178474,0.000007336612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008344001,"about_ca_system_score_gemma":0.00003531023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004591517,"about_ca_topic_score_gemma":0.0001300953,"domain_scores_codex":[0.9990774,0.00009743593,0.0001724452,0.0002927869,0.000211372,0.0001485943],"domain_scores_gemma":[0.9994625,0.00009019249,0.0000662945,0.0002879055,0.00002562678,0.0000674508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003500889,0.0003817602,0.4551275,0.00007252093,0.0003756861,0.00008184587,0.2308952,0.0001902912,0.004811221,0.2597712,0.007630476,0.04062733],"study_design_scores_gemma":[0.0002613602,0.00003055324,0.003238124,0.000003060825,0.000005410403,0.0000140804,0.001961277,0.9903412,0.00009293138,0.0008732437,0.003044754,0.000133993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737031,0.0001899323,0.1210816,0.001150191,0.0004497411,0.0001806928,0.00002487973,0.0002302847,0.002989502],"genre_scores_gemma":[0.9952468,0.000005351245,0.003300471,0.0002063905,0.00001716813,0.00001691536,0.00001113599,0.000005321159,0.001190507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9901509,"threshold_uncertainty_score":0.3283395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355176513791548,"score_gpt":0.2281627492006667,"score_spread":0.2146109840627513,"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."}}