{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001301038,0.0001277883,0.0001419817,0.00007652239,0.0001233026,0.0000387189,0.0002506088,0.00002067513,0.00036033],"category_scores_gemma":[0.000003504391,0.0001121643,0.00004027205,0.0002760972,0.00002016791,0.0000966708,0.00007869157,0.0002049273,0.00005449316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278145,"about_ca_system_score_gemma":0.00001761638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004369539,"about_ca_topic_score_gemma":0.00001402987,"domain_scores_codex":[0.9992133,0.00006601121,0.0001510242,0.0001427253,0.0002562368,0.0001706803],"domain_scores_gemma":[0.9992954,0.00004762611,0.00003334823,0.0005442902,0.00002886824,0.00005046017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002257482,0.0007641978,0.02789771,0.000464584,0.0008900131,0.00005127478,0.03112184,0.1106304,0.7495105,0.02771743,0.003007222,0.047719],"study_design_scores_gemma":[0.001663404,0.0003033185,0.05868571,0.00004625834,0.0001691648,0.0004877987,0.002435474,0.3623753,0.06407157,0.000295728,0.5078245,0.001641724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520984,0.003051124,0.004230913,0.0003436849,0.0004993755,0.0007083732,0.00004642359,0.001493276,0.03752842],"genre_scores_gemma":[0.9974315,0.00002910376,0.001236183,0.00004941558,0.00006072226,0.00004312743,0.00006295637,0.00004762267,0.001039409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.685439,"threshold_uncertainty_score":0.4573926,"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."}}