{"id":"W4306683064","doi":"10.18280/ijsse.120407","title":"Medical Image Encryption Based on Frequency Domain and Chaotic Map","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Encryption; Scrambling; Computer science; Pixel; Haar wavelet; Image (mathematics); Wavelet; Chaotic; Algorithm; Redundancy (engineering); Frequency domain; Transformation (genetics); Artificial intelligence; Discrete wavelet transform; Computer vision; Wavelet transform; Computer security","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":[0.0001724382,0.0001955969,0.0002632775,0.0003865621,0.0001956277,0.0002983962,0.0001903153,0.0002715359,0.0007414886],"category_scores_gemma":[0.0005800796,0.00007774816,0.0002125105,0.0003300394,0.0002142223,0.0005621516,0.00030582,0.0002558581,0.0002388257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493212,"about_ca_system_score_gemma":0.000249544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005933504,"about_ca_topic_score_gemma":0.0003347442,"domain_scores_codex":[0.9996989,0.00004766865,0.00001590526,0.00003190552,0.0001818139,0.00002387529],"domain_scores_gemma":[0.9998372,0.00004831613,0.00002743556,0.00002614626,0.0000542842,0.000006725977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008177576,0.0001562642,0.004301969,0.0007582612,0.0001057848,0.001020206,0.0003959146,0.1518005,0.3177376,0.06393627,0.005566163,0.4534033],"study_design_scores_gemma":[0.00006512155,0.0006071493,0.005862268,0.00006042343,0.00004912483,0.003125052,0.0001115176,0.8119503,0.1423097,0.01188398,0.02388718,0.0000883095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1897146,0.004579052,0.7832036,0.0005515128,0.0002346362,0.0002109058,0.000221536,0.001077631,0.0202064],"genre_scores_gemma":[0.8827455,0.001992946,0.1079272,0.00006621843,0.00007144654,0.00009914623,0.0001808279,0.00002987179,0.006886922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007414886,"threshold_uncertainty_score":0.002480507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00351693165315712,"score_gpt":0.2082849153125007,"score_spread":0.2047679836593436,"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."}}