{"id":"W4313291262","doi":"10.1109/ojcoms.2022.3232065","title":"New LLRT-Based Methods for Active Eavesdropper Detection in Cell-Free Massive MIMO","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"False alarm; Overhead (engineering); Computer science; Telecommunications link; MIMO; Spectral efficiency; Constant false alarm rate; Computer network; Spoofing attack; Real-time computing; Algorithm; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833422,0.001285159,0.001167993,0.0009147113,0.0002987763,0.000994504,0.001381758,0.0009628101,0.0009542184],"category_scores_gemma":[0.009678623,0.000452989,0.0007058727,0.0007799958,0.001190349,0.001618521,0.001374041,0.00140052,0.0005930394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921882,"about_ca_system_score_gemma":0.0005730884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000539608,"about_ca_topic_score_gemma":0.0004972173,"domain_scores_codex":[0.9985411,0.0005599061,0.00006283452,0.0001616685,0.0005773369,0.00009713892],"domain_scores_gemma":[0.9943442,0.003899919,0.0006888464,0.0003766063,0.000566514,0.0001239834],"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":[0.0004152913,0.0001368647,0.002189832,0.0005793152,0.0001952693,0.0005653198,0.0003662534,0.5691996,0.03561462,0.05626478,0.001910675,0.3325621],"study_design_scores_gemma":[0.000008920292,0.00008063445,0.0002432359,0.00001498905,0.00001776904,0.0001850184,0.00001485245,0.9895741,0.004586246,0.004415503,0.0008297308,0.00002896645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002153879,0.0002291852,0.9970372,0.00002873335,0.00001891159,0.00001306212,0.000009145918,0.0001514708,0.0003584335],"genre_scores_gemma":[0.4166715,0.00129125,0.5781495,0.0002656071,0.0002758294,0.0001768231,0.0001651367,0.0001361529,0.0028682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001833422,"threshold_uncertainty_score":0.009696186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854916251095447,"score_gpt":0.3590849553009293,"score_spread":0.3105357927899748,"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."}}