{"id":"W7117371342","doi":"10.1007/s10470-025-02542-6","title":"Chaos-based Pseudo Random Number Generators via quasi-synchronized Chua’s circuits: a symmetric encryption perspective","year":2025,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Kungliga Tekniska Högskolan","keywords":"Randomness; Encryption; Cryptography; Random number generation; Pseudorandom number generator; Chaotic; Ideal (ethics); Keystream; Secure communication","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":[0.0002995244,0.0002355586,0.0002110945,0.0002632057,0.0002210822,0.0005516862,0.0004101422,0.0003852199,0.001610767],"category_scores_gemma":[0.0005431066,0.0001457586,0.0002609337,0.0002320063,0.0005481874,0.0006470294,0.0003088668,0.0003601809,0.000241859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108509,"about_ca_system_score_gemma":0.0003392004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002811071,"about_ca_topic_score_gemma":0.0002618793,"domain_scores_codex":[0.9997254,0.0001107227,0.00001286281,0.00003303126,0.00009219462,0.00002571432],"domain_scores_gemma":[0.9998043,0.00007347332,0.00003933362,0.00003174468,0.00004136667,0.00000975582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001586359,0.00006855411,0.0005358621,0.0001545937,0.0000373515,0.0002706981,0.0002018429,0.09553266,0.1014793,0.7624753,0.001048574,0.03803667],"study_design_scores_gemma":[0.000045096,0.0002476524,0.0003033789,0.00002621986,0.00002395572,0.000232638,0.00003632877,0.9178589,0.03662557,0.03863043,0.005942622,0.00002726549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1269032,0.0006748795,0.8536866,0.0004934648,0.0001376457,0.00019059,0.00007407153,0.0002210406,0.01761854],"genre_scores_gemma":[0.9066005,0.0005749667,0.08779048,0.00007007455,0.00005231172,0.0001142401,0.00004388358,0.00002536717,0.00472817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001610767,"threshold_uncertainty_score":0.005388498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103984640876064,"score_gpt":0.2555487985805909,"score_spread":0.2445089521718303,"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."}}