{"id":"W4324007164","doi":"10.14722/ndss.2023.24416","title":"Preventing SIM Box Fraud Using Device Model Fingerprinting","year":2023,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Institute for Information and Communications Technology Promotion; Korean National Police Agency; Ministry of Science and ICT, South Korea","keywords":"Computer science; Computer security","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":[0.0007997178,0.0001533416,0.0001953947,0.0001841099,0.0002449263,0.0002979019,0.0007506748,0.00006260339,0.00002706829],"category_scores_gemma":[0.0000860759,0.0001418844,0.0001591461,0.000857527,0.00001408972,0.0004405103,0.000607771,0.0001752004,0.0001611725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003499383,"about_ca_system_score_gemma":0.00005248183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002397283,"about_ca_topic_score_gemma":0.00002742333,"domain_scores_codex":[0.9983648,0.00004445111,0.0003693077,0.0004702342,0.0002682134,0.0004830016],"domain_scores_gemma":[0.9993594,0.0001017302,0.0001291851,0.0002513718,0.00008818577,0.00007007371],"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":[5.16168e-7,0.00001802537,0.0002065423,0.00002082833,0.00003840449,0.00001130402,0.001438506,0.8754661,0.0007121048,0.1096291,0.0004107366,0.01204783],"study_design_scores_gemma":[0.00006280202,0.000004868416,0.00003196655,0.0000481014,0.00001129431,0.000002727751,0.0001312974,0.9987983,0.0003774941,0.0002476544,0.000102558,0.0001809063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.281351,0.00001841683,0.715741,0.0001413071,0.0001168323,0.00004608867,1.666431e-7,0.0004599941,0.002125216],"genre_scores_gemma":[0.8967643,0.000001937314,0.1006037,0.0003194769,0.00008677859,0.000002251484,0.000001270447,0.00001354531,0.002206743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6154133,"threshold_uncertainty_score":0.5785877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412367406915866,"score_gpt":0.2855115404517948,"score_spread":0.2442747997602082,"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."}}