{"id":"W4406266709","doi":"10.1109/vtc2024-fall63153.2024.10757486","title":"Wireless Security and IoT Device Identification using RF Fingerprinting and Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada); Royal Military College of Canada","funders":"Mitacs","keywords":"Computer science; Identification (biology); Wireless; Internet of Things; Computer security; Computer network; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0004729755,0.00009910161,0.00009060599,0.0001363309,0.0002160724,0.0008031657,0.0001481736,0.00005631164,0.000005169451],"category_scores_gemma":[0.00005140017,0.0001009374,0.00001747712,0.0003628969,0.00003783736,0.0005988296,0.0001598852,0.0001562397,0.00001177287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004496245,"about_ca_system_score_gemma":0.0000245324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004524613,"about_ca_topic_score_gemma":0.00001842725,"domain_scores_codex":[0.9989271,0.00006670557,0.0002283674,0.0004594519,0.0001751539,0.0001432043],"domain_scores_gemma":[0.9994419,0.0001803623,0.00007153173,0.0001747065,0.00007320955,0.00005835334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002045947,0.00002009136,0.008953881,0.0002685866,0.00002470561,0.000007104905,0.005148952,0.001877761,0.2084102,0.1593077,0.000006901011,0.615972],"study_design_scores_gemma":[0.00004288353,0.000005604759,0.01710469,0.00005790622,0.00000681483,0.00002092523,0.0001169565,0.9752266,0.004894518,0.002174987,0.0002269088,0.0001211792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243567,0.0003131086,0.4745084,0.0002913417,0.00009118075,0.00005990706,9.410106e-8,0.0001959671,0.0001832663],"genre_scores_gemma":[0.9885646,0.00002434193,0.01124616,0.00003257208,0.00005157452,0.00000482563,0.000001360986,0.000009995166,0.00006458724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9733489,"threshold_uncertainty_score":0.7744945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424963959425204,"score_gpt":0.2747056949920063,"score_spread":0.2504560553977543,"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."}}