{"id":"W4390989433","doi":"10.5267/j.ijdns.2023.12.008","title":"A novel four-wing chaotic system with multiple equilibriums: Dynamical analysis, multistability, circuit simulation and pseudo random number generator (PRNG) based on the voice encryption","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyapunov exponent; Chaotic; Attractor; Multistability; Encryption; Computer science; Secure communication; Pseudorandom number generator; Random number generation; Control theory (sociology); Synchronization of chaos; CHAOS (operating system); Statistical physics; Mathematics; Algorithm; Nonlinear system; Physics; Mathematical analysis; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003282113,0.0001662188,0.0002245737,0.0002992915,0.0002276751,0.001283023,0.001564448,0.00003940163,0.000007717406],"category_scores_gemma":[0.0003245425,0.000107545,0.00006624718,0.001207455,0.0002834129,0.002487929,0.0003933887,0.0002569703,0.000003749846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106081,"about_ca_system_score_gemma":0.0002675154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004159065,"about_ca_topic_score_gemma":0.0000371194,"domain_scores_codex":[0.9972851,0.0001350353,0.0004653934,0.0005738873,0.001300677,0.0002398797],"domain_scores_gemma":[0.9969377,0.001715807,0.0002677877,0.0004786924,0.0004599827,0.0001400128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003346462,0.0001139814,0.01117067,0.00005280456,0.000315743,0.0001114193,0.0003491503,0.9525043,0.01309699,0.007399868,0.00006312598,0.01448727],"study_design_scores_gemma":[0.0008221239,0.00006944962,0.009169061,0.0002956481,0.00009110218,0.0001910214,0.00002780818,0.9889536,0.00005692732,0.0001324688,0.00006286243,0.0001278594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1949891,0.00008550032,0.8035316,0.0006847003,0.0004793663,0.0001353506,0.00003562154,0.00003310456,0.00002562236],"genre_scores_gemma":[0.9775512,0.00001186933,0.02186553,0.0001698541,0.0003723059,0.000003241646,0.00001552715,0.000007819699,0.000002696791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.782562,"threshold_uncertainty_score":0.9997537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805137503845807,"score_gpt":0.2967420376343025,"score_spread":0.2586906625958444,"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."}}