{"id":"W2962953293","doi":"10.1109/iwcmc.2019.8766490","title":"Raptor Code based on punctured LDPC for Secrecy in Massive MiMo","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Eavesdropping; Fountain code; MIMO; Computer network; Secrecy; Physical layer; Raptor code; Decoding methods; Network packet; Channel (broadcasting); Artificial noise; Code (set theory); Jamming; Transmitter; Wireless; Low-density parity-check code; Computer security; Telecommunications","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":[0.0004718155,0.0005328318,0.0004394331,0.0004576587,0.0005109627,0.0005516036,0.0004971109,0.0007466866,0.001331456],"category_scores_gemma":[0.001986975,0.0002278835,0.000342679,0.0005099533,0.0009872161,0.0007167896,0.0006636445,0.0007321736,0.0004673839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864302,"about_ca_system_score_gemma":0.0008615017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810526,"about_ca_topic_score_gemma":0.001425218,"domain_scores_codex":[0.9994503,0.000206451,0.00001554893,0.0000578381,0.0002082461,0.00006153389],"domain_scores_gemma":[0.9991363,0.0004325247,0.0001002633,0.0001305779,0.0001672399,0.00003314315],"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":[0.000317712,0.0000603758,0.0008964464,0.0003221144,0.00007411492,0.0009713885,0.0003351095,0.6828322,0.03886616,0.2106964,0.002990866,0.06163703],"study_design_scores_gemma":[0.00001883444,0.00008049016,0.0001658675,0.0000316543,0.00001226787,0.0002994314,0.00001919191,0.9689444,0.01007874,0.01806476,0.002253982,0.00003037501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05331097,0.001690209,0.9323028,0.0003646776,0.0001053242,0.00006487044,0.000106196,0.0004885899,0.0115663],"genre_scores_gemma":[0.860255,0.001246088,0.134215,0.0001587343,0.00005050299,0.0001214916,0.00008385994,0.00004520334,0.003824215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001810526,"threshold_uncertainty_score":0.004454136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144660750006951,"score_gpt":0.2408222511117995,"score_spread":0.22937564361173,"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."}}