{"id":"W4402067451","doi":"10.18280/ijsse.140409","title":"Lightweight Pseudo Random Number Generator for Embedded Systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pseudorandom number generator; Computer science; Encryption; Algorithm; Initialization; Cryptography; Randomness; Randomness tests; Embedded system; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210218,0.0005268214,0.0004001254,0.0006667563,0.0002290557,0.0007435757,0.0006433667,0.0006942714,0.00366589],"category_scores_gemma":[0.004999487,0.0001956402,0.0003676127,0.0005728992,0.0004755006,0.0009205763,0.0005119023,0.0009805934,0.001830904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972976,"about_ca_system_score_gemma":0.0006165495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002329508,"about_ca_topic_score_gemma":0.0002405401,"domain_scores_codex":[0.9986007,0.0005593806,0.00009212057,0.0001306212,0.0005664605,0.00005075727],"domain_scores_gemma":[0.9982212,0.0008468121,0.0002197982,0.0003419269,0.0003350144,0.00003525451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003981334,0.0001251843,0.001838161,0.0009760667,0.0001057634,0.0005979387,0.0001943798,0.1990961,0.06863627,0.2572801,0.01138137,0.4593705],"study_design_scores_gemma":[0.00009590547,0.0004902309,0.0009695794,0.0001661514,0.00004405028,0.00107001,0.00002893368,0.8323169,0.03460373,0.07345021,0.05670479,0.00005960776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005591207,0.0008453016,0.986967,0.0002284848,0.0001205805,0.0002044672,0.00009168118,0.001459846,0.004491391],"genre_scores_gemma":[0.3558479,0.001403581,0.6297573,0.0003337738,0.0001660179,0.00106338,0.0004898751,0.0002925132,0.01064562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00366589,"threshold_uncertainty_score":0.01226366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704587572250969,"score_gpt":0.2342380749776176,"score_spread":0.2285334874053666,"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."}}