{"id":"W4416923505","doi":"10.1109/dasc66011.2025.11257260","title":"New Machine Learning Approaches for Intrusion Detection in ADS-B","year":2025,"lang":"","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Intrusion detection system; Inference; Deep learning; Transfer of learning; Latency (audio); Protocol (science); Generalization; Encoder","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":[0.0002498213,0.0002071167,0.0001989984,0.0004465735,0.0001125902,0.00008021484,0.0001064894,0.0001647653,0.0002898962],"category_scores_gemma":[0.00006399957,0.0002276998,0.00007191975,0.0006515059,0.000008116258,0.0001977405,0.00006759986,0.0002423885,0.00001079021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138665,"about_ca_system_score_gemma":0.00002165922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232866,"about_ca_topic_score_gemma":0.000813953,"domain_scores_codex":[0.9989762,0.00002833533,0.0003540356,0.000287652,0.00008458626,0.0002692224],"domain_scores_gemma":[0.9997128,0.00006471798,0.00004060733,0.000124523,0.00001645459,0.0000408759],"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":[0.00004388683,0.00001443974,0.0002376218,0.0002065329,0.00002452297,1.600617e-7,0.0001317443,0.5589985,0.00002265601,0.003212152,0.0002404972,0.4368673],"study_design_scores_gemma":[0.001197135,0.00006203219,0.0004982429,0.00009167034,0.00005214446,1.185411e-7,0.0002297706,0.9791809,0.0008031579,0.0003530114,0.01733367,0.0001980816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001477379,0.0007064143,0.9639597,0.0003171775,0.0006249986,0.0007751859,5.321308e-7,0.0002570715,0.03188156],"genre_scores_gemma":[0.9438984,0.0004209959,0.02477315,0.00002924891,0.0001159969,0.00004098826,0.00004253465,0.00003134329,0.03064729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9424211,"threshold_uncertainty_score":0.9285328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373926549071914,"score_gpt":0.2052131417811303,"score_spread":0.1914738762904111,"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."}}