{"id":"W2536374144","doi":"10.1109/iwsda.2013.6849074","title":"Randomness properties of stream ciphers for wireless communications","year":2013,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Standards and Technology","keywords":"Stream cipher; NIST; Computer science; Randomness; Wireless; Stream cipher attack; Suite; Randomness tests; Cryptography; Algorithm; Telecommunications; Mathematics; Statistics; Geography; Speech recognition","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":[0.004409611,0.0007004067,0.000585196,0.0017142,0.0005676473,0.001084457,0.0004454625,0.0004970978,0.002334054],"category_scores_gemma":[0.02089673,0.0002006147,0.0005101449,0.001044075,0.0009133818,0.002829146,0.0006516246,0.0006650942,0.0005214745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898904,"about_ca_system_score_gemma":0.001018766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588753,"about_ca_topic_score_gemma":0.0003675195,"domain_scores_codex":[0.9950941,0.001360177,0.0003914062,0.0003101862,0.002461941,0.0003822398],"domain_scores_gemma":[0.9780382,0.01527006,0.002250825,0.001848442,0.002354839,0.0002377382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003446838,0.0004697888,0.02607144,0.001378106,0.0004242027,0.0008083232,0.0002808353,0.4875999,0.1854682,0.1102506,0.004897331,0.1789045],"study_design_scores_gemma":[0.0001918363,0.004206833,0.007468718,0.00020792,0.0002397046,0.001522938,0.0001582154,0.6384482,0.3045107,0.0319313,0.01096038,0.0001532394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7859685,0.005290897,0.1865776,0.0006142891,0.0002746956,0.0004988541,0.0009896029,0.001017432,0.01876805],"genre_scores_gemma":[0.9807245,0.0008875438,0.0165594,0.00006857642,0.00006516598,0.00009218624,0.0005018433,0.00008897259,0.001011907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004409611,"threshold_uncertainty_score":0.02332056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841414934220077,"score_gpt":0.2537032926691556,"score_spread":0.2152891433269549,"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."}}