{"id":"W4313428174","doi":"10.1109/comnetsat56033.2022.9994421","title":"LEO Satellite Authentication using Physical Layer Features with Support Vector Machine","year":2022,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Spoofing attack; Authentication (law); Physical layer; Satellite; Support vector machine; Communications satellite; Scheme (mathematics); Computer network; Real-time computing; Artificial intelligence; Wireless; Computer security; Telecommunications; Engineering","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":[0.0006238162,0.0005434316,0.0005084947,0.0005613846,0.0002224965,0.0005723057,0.0003617491,0.0004326756,0.0008208859],"category_scores_gemma":[0.001703231,0.0001268861,0.0003340534,0.0003956274,0.0001732226,0.000816619,0.0003911071,0.0006495416,0.0004638307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263651,"about_ca_system_score_gemma":0.0002950575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071917,"about_ca_topic_score_gemma":0.0006544677,"domain_scores_codex":[0.999592,0.00009612733,0.00004467596,0.00007655261,0.0001232544,0.00006739598],"domain_scores_gemma":[0.999233,0.0002633999,0.0001351949,0.00008669347,0.0002533007,0.00002849313],"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":[0.00110637,0.0003921239,0.009103803,0.0001248477,0.0001237536,0.0001643347,0.0000632356,0.1244976,0.04012312,0.0009351197,0.003029621,0.8203362],"study_design_scores_gemma":[0.00001102784,0.0002539314,0.002668505,0.000007112559,0.00002005244,0.00005440259,0.00001933021,0.9864482,0.009708116,0.000306577,0.0004898085,0.00001284748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3795028,0.001026095,0.613477,0.000377721,0.0002425807,0.0001277832,0.0001844914,0.002679001,0.002382514],"genre_scores_gemma":[0.9714731,0.0001001598,0.02743808,0.00002699515,0.00002629277,0.00002478732,0.0001485966,0.000008074816,0.0007539096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001071917,"threshold_uncertainty_score":0.003299117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262195092982646,"score_gpt":0.2553618932213539,"score_spread":0.2291423839230893,"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."}}