{"id":"W2059831027","doi":"10.1103/physreve.66.017202","title":"Steps towards improving the security of chaotic encryption","year":2002,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Synchronizing; Chaotic; Encryption; Computer science; Ciphertext; Function (biology); CHAOS (operating system); Pseudorandom number generator; SIGNAL (programming language); Theoretical computer science; Algorithm; Computer security; Artificial intelligence; Telecommunications","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":[0.004273539,0.001757196,0.001180497,0.001431615,0.001483706,0.002970195,0.001669149,0.004044862,0.005044],"category_scores_gemma":[0.01307911,0.0006161662,0.0008542727,0.0007268591,0.003670522,0.009151855,0.004082984,0.005740427,0.002249069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161682,"about_ca_system_score_gemma":0.001807442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006481536,"about_ca_topic_score_gemma":0.0003404993,"domain_scores_codex":[0.9972388,0.0008043015,0.0001853605,0.000207632,0.001236758,0.0003272967],"domain_scores_gemma":[0.9922194,0.003340797,0.0003440727,0.001979749,0.001812188,0.0003037248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004503461,0.0004249802,0.001321446,0.0009258043,0.0001324335,0.0005261242,0.0005633825,0.02564214,0.03089492,0.724372,0.01388879,0.2008577],"study_design_scores_gemma":[0.0002717887,0.0005445276,0.0006665358,0.000692584,0.00007367665,0.00116074,0.0004369539,0.09546203,0.05748146,0.7228499,0.1201881,0.0001717516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06035934,0.02979282,0.7829903,0.05922116,0.002785905,0.0004819519,0.0001424097,0.001662178,0.06256394],"genre_scores_gemma":[0.4946253,0.02329983,0.4622856,0.003527942,0.002085217,0.0004431148,0.0001984767,0.0003169866,0.01321745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005044,"threshold_uncertainty_score":0.02260089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471146639980805,"score_gpt":0.2850581475745079,"score_spread":0.2703466811746999,"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."}}