{"id":"W3013184273","doi":"10.1145/3372420","title":"Mimicry Attacks on Smartphone Keystroke Authentication","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Privacy and Security","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Keystroke logging; Computer science; Password; Keystroke dynamics; Authentication (law); Computer security; Human–computer interaction; S/KEY","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007343591,0.0009132796,0.0007217533,0.0007547803,0.0005109485,0.0006933536,0.0006670404,0.001153483,0.001118828],"category_scores_gemma":[0.008126461,0.0005020703,0.0006093517,0.0003049399,0.001198969,0.002138053,0.002721152,0.0008845456,0.0006332111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820513,"about_ca_system_score_gemma":0.0002164925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004844862,"about_ca_topic_score_gemma":0.0003690548,"domain_scores_codex":[0.9965055,0.001377072,0.0001988436,0.0003644825,0.001250708,0.0003035156],"domain_scores_gemma":[0.993842,0.002438975,0.001111121,0.00190893,0.0005139976,0.0001849492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001921671,0.0003823003,0.0173863,0.0007873636,0.0002420344,0.006022189,0.002821779,0.1102091,0.5998766,0.02107663,0.00329657,0.2359775],"study_design_scores_gemma":[0.00007155273,0.003603179,0.02188947,0.0002353968,0.0002066653,0.01642572,0.00055808,0.7059191,0.2323954,0.006002927,0.0123707,0.0003217618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657419,0.001585513,0.2214251,0.0003573783,0.000130037,0.0002076339,0.00008051659,0.002081672,0.008390146],"genre_scores_gemma":[0.9873785,0.0002393722,0.01139538,0.00005390003,0.00001612383,0.00002812531,0.00001825906,0.00002550346,0.0008449277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001153483,"threshold_uncertainty_score":0.003883719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201625026099603,"score_gpt":0.255703336578352,"score_spread":0.223687086317356,"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."}}