{"id":"W3162021243","doi":"10.48550/arxiv.2105.08896","title":"Designing a Pseudo-Random Bit Generator with a Novel 5D-Hyperchaotic System","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Randomness; Computer science; NIST; Random number generation; Chaotic; Bitstream; Field-programmable gate array; Scrambling; Randomness tests; Generator (circuit theory); Context (archaeology); Cryptography; Algorithm; Computer hardware; Electronic engineering; Computer engineering; Mathematics; Artificial intelligence; Engineering; 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":[0.000219014,0.0002908713,0.0002576728,0.0002962479,0.0002613146,0.0003666256,0.0006438479,0.0004619426,0.002143227],"category_scores_gemma":[0.0003953222,0.000168183,0.0002180104,0.000226527,0.0002729454,0.0004428269,0.0004101749,0.0002462376,0.000704315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190795,"about_ca_system_score_gemma":0.0002896655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003004705,"about_ca_topic_score_gemma":0.0003621251,"domain_scores_codex":[0.9997391,0.00005850576,0.00002194653,0.00005762108,0.00009434948,0.00002845193],"domain_scores_gemma":[0.9998813,0.00002480465,0.00002623148,0.000022798,0.00003308664,0.00001170804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004493339,0.000142376,0.002718921,0.0004838174,0.0001078131,0.0009211989,0.0003017252,0.06421379,0.6704254,0.08685006,0.00348505,0.1699006],"study_design_scores_gemma":[0.0002118136,0.0008908387,0.001362464,0.0000458433,0.00006208031,0.00189241,0.00003867099,0.7500739,0.2120296,0.006776875,0.02652013,0.00009531457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1179469,0.0006308834,0.8649589,0.0005360573,0.0002230616,0.0004346912,0.0001647862,0.00139579,0.01370902],"genre_scores_gemma":[0.6796113,0.0001940046,0.3149213,0.0001884025,0.00003675494,0.0002563533,0.0001333515,0.00005865691,0.004599847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002143227,"threshold_uncertainty_score":0.007169843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906775247897382,"score_gpt":0.1704779456129797,"score_spread":0.1014101931340059,"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."}}