{"id":"W4408699641","doi":"10.1038/s41598-025-92065-x","title":"A new multiple image encryption algorithm using hyperchaotic systems, SVD, and modified RC5","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Zagazig University","keywords":"Encryption; Computer science; Algorithm; Probabilistic encryption; Multiple encryption; Randomness; Watermarking attack; Theoretical computer science; Cryptography; Singular value decomposition; 40-bit encryption; Key generation; Deterministic encryption; Computer security; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001703209,0.0002302312,0.0002765633,0.0005407377,0.0004984083,0.001636308,0.0003656372,0.00009474923,0.000009652672],"category_scores_gemma":[0.0002482241,0.0002271877,0.00008346525,0.001260172,0.0001746255,0.001235615,0.0003535762,0.0001694011,0.00002029602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137206,"about_ca_system_score_gemma":0.0005606887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000792144,"about_ca_topic_score_gemma":0.00001403212,"domain_scores_codex":[0.9969072,0.0001226381,0.0006374076,0.001259625,0.0006371873,0.0004358957],"domain_scores_gemma":[0.9978845,0.00009746481,0.0002927487,0.001225385,0.0002898744,0.000210026],"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":[0.00001576641,0.0001720093,0.0008513423,0.000282172,0.0000618279,0.001166424,0.001054686,0.009494653,0.8233703,0.004734765,0.01069695,0.1480991],"study_design_scores_gemma":[0.0003509793,0.00002023978,0.0004279167,0.0001718227,0.0000267322,0.0005064488,0.00005027084,0.9735304,0.01165215,0.01084165,0.002148228,0.0002731669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05322117,0.0005689775,0.9366044,0.0001494894,0.008195962,0.0005176116,0.000001769096,0.0002610393,0.000479595],"genre_scores_gemma":[0.7000059,0.000007834519,0.2958939,0.00006536068,0.0001418937,0.00002344819,0.00002412761,0.00002020243,0.003817309],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9640357,"threshold_uncertainty_score":0.9994001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926926401189964,"score_gpt":0.2575066072991082,"score_spread":0.2382373432872086,"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."}}