{"id":"W4200295913","doi":"10.1109/meditcom49071.2021.9647674","title":"Pilot Contamination Attack Detection in 5G Massive MIMO Systems Using Generative Adversarial Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"MIMO; Base station; Computer science; Telecommunications link; Channel (broadcasting); Contamination; Real-time computing; Computer network","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":[0.001577128,0.0009371641,0.0007472233,0.0003649714,0.0003206019,0.0006811094,0.0009088759,0.001064306,0.0005798418],"category_scores_gemma":[0.004825451,0.0003739888,0.0005173179,0.0002637357,0.001193527,0.001035343,0.001529012,0.001495995,0.0001413958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007423748,"about_ca_system_score_gemma":0.0004250683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484344,"about_ca_topic_score_gemma":0.001253127,"domain_scores_codex":[0.9990619,0.000406926,0.00003198652,0.0001361724,0.0002318941,0.0001310568],"domain_scores_gemma":[0.9966865,0.002320533,0.000366833,0.0002749631,0.0002566386,0.00009459665],"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":[0.0001902348,0.00003968554,0.001866268,0.00004243951,0.00005447606,0.0001423231,0.00006586764,0.9528443,0.003636411,0.00599944,0.0007104476,0.0344081],"study_design_scores_gemma":[0.000001961674,0.00001557489,0.0001446845,0.000002731355,0.000003828554,0.00002064093,0.000003239922,0.9977539,0.0008428409,0.001152706,0.00005473437,0.00000308007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1158309,0.0004514708,0.8800069,0.0006468343,0.00006949546,0.00005008622,0.00006394759,0.000560099,0.002320202],"genre_scores_gemma":[0.9821526,0.0001206448,0.01680247,0.0001514397,0.00002615744,0.0000198081,0.0000441961,0.0000163903,0.0006663234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001577128,"threshold_uncertainty_score":0.008340716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07095420660841095,"score_gpt":0.2883158403101858,"score_spread":0.2173616337017749,"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."}}