{"id":"W4311162733","doi":"10.18280/ts.390522","title":"Chaos Based Pseudo Random Bit Generator Design and Its Application in Secure Image Encryption","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Computer science; Encryption; NIST; Chaotic; Pseudorandom number generator; Histogram; Entropy (arrow of time); Theoretical computer science; Computer engineering; Cryptography; Test suite; Algorithm; Computer hardware; Image (mathematics); Artificial intelligence; Computer network; Speech recognition; Test case","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001494411,0.0002404105,0.0002281296,0.0003568224,0.0002901784,0.0001367014,0.000506527,0.00004957307,0.0003391026],"category_scores_gemma":[0.00001762145,0.0002611407,0.00006745743,0.0007074911,0.0000322691,0.0006274576,0.0001622353,0.0002577247,0.0000358549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660286,"about_ca_system_score_gemma":0.0001455686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558207,"about_ca_topic_score_gemma":0.000004652354,"domain_scores_codex":[0.9974004,0.0005159572,0.0004286142,0.0006582374,0.0006427209,0.0003540863],"domain_scores_gemma":[0.9991747,0.0001641147,0.0001765139,0.0002795854,0.00008311718,0.0001220168],"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":[0.0003371111,0.0003851153,0.0001211605,0.00005240354,0.00001627872,0.00004053319,0.000782047,0.06569105,0.9149893,0.004409958,0.0007784331,0.01239664],"study_design_scores_gemma":[0.004239683,0.0002841133,0.0006093442,0.00001271606,0.00001279338,0.00001506857,0.00003004666,0.9526526,0.04046366,0.0006568931,0.0007325894,0.0002905083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1129877,0.000171435,0.8842725,0.0009685531,0.0000935838,0.001296024,0.00001584223,0.0001540243,0.00004034077],"genre_scores_gemma":[0.9643666,0.0000106253,0.0336019,0.0008133734,0.0001067509,0.001010301,0.000049985,0.00002232214,0.00001816064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8869615,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324036524475314,"score_gpt":0.2225160941201618,"score_spread":0.2092757288754087,"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."}}