{"id":"W2078053307","doi":"10.1109/btas.2013.6712742","title":"Secure privacy-preserving protocols for outsourcing continuous authentication of smartphone users with touch data","year":2013,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Computer science; Android (operating system); Computer security; Authentication (law); Overhead (engineering); Outsourcing; Cryptographic protocol; Server; Mutual authentication; Internet privacy; Cryptography; Computer network; Operating system","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":[0.00477312,0.0009152218,0.001166044,0.0007395444,0.001521562,0.003029677,0.002194525,0.001349126,0.003701095],"category_scores_gemma":[0.0126976,0.00108594,0.001224973,0.00115301,0.003488894,0.008652227,0.007715288,0.003898429,0.001238777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340608,"about_ca_system_score_gemma":0.002840133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009525011,"about_ca_topic_score_gemma":0.0006556308,"domain_scores_codex":[0.9917327,0.001775081,0.001155687,0.0007063978,0.00366667,0.0009634682],"domain_scores_gemma":[0.9796371,0.004612831,0.001739078,0.01146705,0.002099395,0.0004445533],"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":[0.001359158,0.000525283,0.004109766,0.0008211986,0.0001964187,0.001630522,0.004777887,0.03974009,0.07963125,0.6862436,0.007832906,0.173132],"study_design_scores_gemma":[0.0003903345,0.0007614035,0.001984932,0.0001877047,0.0002470141,0.001821103,0.001097911,0.4269518,0.2060218,0.3287912,0.03144641,0.000298439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03553626,0.0003160426,0.9586422,0.0006566861,0.00007752081,0.0003757793,0.0002000136,0.0009669373,0.003228671],"genre_scores_gemma":[0.7872154,0.0005513147,0.2041713,0.000269903,0.0001288841,0.0009176918,0.0004567093,0.0001605058,0.006128366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00477312,"threshold_uncertainty_score":0.02524298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082355801024673,"score_gpt":0.2961839847320998,"score_spread":0.245360426721853,"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."}}