{"id":"W2167352984","doi":"10.1109/tc.2007.4","title":"A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks","year":2007,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":400,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Resilience (materials science); Random number generation; Fault tolerance; Fraction (chemistry); Key (lock); Jitter; Generator (circuit theory); Pseudorandom number generator; Exponential function; Range (aeronautics); Algorithm; Function (biology); Theoretical computer science; Distributed computing; Mathematics; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004756922,0.0002193838,0.0002477353,0.0001311776,0.00006764168,0.000127236,0.0005532427,0.00007222353,0.00009044136],"category_scores_gemma":[0.00003630124,0.0001731228,0.00004952784,0.0009730618,0.0000322509,0.000720416,0.0001115734,0.0002089907,0.0002099538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748313,"about_ca_system_score_gemma":0.0001512293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002375842,"about_ca_topic_score_gemma":0.001282876,"domain_scores_codex":[0.9981802,0.00005735577,0.0002691083,0.0006002382,0.0004099887,0.0004831463],"domain_scores_gemma":[0.9989338,0.0001132472,0.00007141852,0.0005244713,0.0001606022,0.0001964768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01452542,0.002484107,0.02639404,0.0002576159,0.0002623119,0.002577314,0.02894152,0.02996263,0.4129223,0.05963942,0.03233431,0.389699],"study_design_scores_gemma":[0.02408684,0.001183679,0.03914117,0.0003474767,0.00002747852,0.0003242201,0.000446272,0.1161464,0.7919129,0.001730681,0.02225077,0.002402144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3532825,0.00001035597,0.6410648,0.0007000593,0.0001183086,0.0004861708,0.00000166455,0.000131435,0.004204776],"genre_scores_gemma":[0.8588532,0.000001258193,0.1383003,0.001934743,0.0001437121,0.00005752379,0.000001745118,0.00001848569,0.0006891444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5055707,"threshold_uncertainty_score":0.7059744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008168270550131721,"score_gpt":0.2601085122538924,"score_spread":0.2519402417037607,"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."}}