{"id":"W2881632231","doi":"10.1145/3210240.3210317","title":"Augmented Reality-based Mimicry Attacks on Behaviour-Based Smartphone Authentication","year":2018,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mimicry; Keystroke dynamics; Authentication (law); Keystroke logging; Biometrics; Computer security; Human–computer interaction; Phone; Fingerprint (computing); Software; Password; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005143055,0.0001840904,0.0001711312,0.0002179897,0.0002119357,0.0001890344,0.000813212,0.00009724937,0.0002281695],"category_scores_gemma":[0.00003845919,0.0001661025,0.00009743459,0.0004767437,0.0001119294,0.0001756735,0.0000571844,0.0001081177,0.001094738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009099046,"about_ca_system_score_gemma":0.0001319016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615496,"about_ca_topic_score_gemma":0.00008707173,"domain_scores_codex":[0.9980955,0.0001854809,0.0003916355,0.0005439862,0.0004754711,0.0003079426],"domain_scores_gemma":[0.9980372,0.00009274997,0.0001476602,0.00129754,0.0002545774,0.0001703182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006913943,0.01652971,0.0585246,0.0005653836,0.0004322428,0.00006955187,0.07728049,0.0001601109,0.08298849,0.4883335,0.23242,0.0420045],"study_design_scores_gemma":[0.001901846,0.0005485172,0.04750233,0.000101065,0.00003607031,0.000003411625,0.0000518971,0.8381612,0.09483835,0.0007848746,0.01551078,0.0005596042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2772479,0.00001036209,0.7015874,0.01358999,0.001127905,0.0006143215,0.00001415698,0.0009326302,0.004875346],"genre_scores_gemma":[0.992089,2.440669e-7,0.003359969,0.003224082,0.00008884434,0.00004076425,0.000046284,0.00001414684,0.001136698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8380011,"threshold_uncertainty_score":0.999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558486185701454,"score_gpt":0.2968684485024973,"score_spread":0.2612835866454827,"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."}}