{"id":"W2084779827","doi":"10.1109/wcl.2014.030514.140092","title":"Achieving Secure Communications over Wiretap Channels via Security Codes from Resilient Functions","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encoding (memory); Information-theoretic security; Concrete security; Theoretical computer science; Binary number; Channel (broadcasting); Cryptography; Computer security; Computer network; Algorithm; Mathematics; Arithmetic","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":[0.0009704175,0.00109183,0.0005424786,0.001038475,0.0006261229,0.0009932843,0.00069509,0.001073971,0.00202807],"category_scores_gemma":[0.004197416,0.0003560282,0.0005289483,0.001003564,0.001737763,0.001840611,0.001887621,0.001656243,0.0005970906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006562387,"about_ca_system_score_gemma":0.0008444271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004276545,"about_ca_topic_score_gemma":0.000257179,"domain_scores_codex":[0.9987808,0.0003496142,0.00006591484,0.0001615092,0.0004591515,0.0001830624],"domain_scores_gemma":[0.9977932,0.001057013,0.0004041445,0.0003876882,0.0002832527,0.00007472519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00039386,0.00007704278,0.0005037796,0.0002101894,0.00004407594,0.0004217067,0.0003148064,0.2317796,0.06244171,0.612011,0.001613149,0.09018917],"study_design_scores_gemma":[0.0000488941,0.0002452137,0.0001901648,0.00006333935,0.0000269955,0.0005476488,0.00005024389,0.7704751,0.05164478,0.1735501,0.003088399,0.00006902622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03376222,0.0001450582,0.9611509,0.0001917752,0.0000313967,0.00005761558,0.00006394419,0.0003627701,0.004234287],"genre_scores_gemma":[0.8253984,0.0004176945,0.17083,0.0001415707,0.00005657038,0.0002130868,0.0001192345,0.00008259242,0.002740882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00202807,"threshold_uncertainty_score":0.006784618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573121338950753,"score_gpt":0.2466059921268507,"score_spread":0.2308747787373431,"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."}}