{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009541095,0.0001083359,0.0001387278,0.0002921699,0.00008614623,0.00008200349,0.0004733336,0.00003556886,0.0001141046],"category_scores_gemma":[0.0001272206,0.0001096259,0.00006010742,0.0001099523,0.00003020722,0.0004489192,0.0001655812,0.0004625328,0.000001850186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737673,"about_ca_system_score_gemma":0.00008299256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009821852,"about_ca_topic_score_gemma":0.000001224096,"domain_scores_codex":[0.9983447,0.0000644481,0.000340619,0.0001564391,0.0009663089,0.0001274612],"domain_scores_gemma":[0.9993297,0.0001859032,0.000141011,0.00009194475,0.0001160383,0.0001354303],"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":[0.001424435,0.001258528,0.001404335,0.0003462119,0.0005203858,0.006369916,0.01013966,0.1224488,0.06481042,0.7374602,0.0007835446,0.05303351],"study_design_scores_gemma":[0.002173482,0.0004520117,0.003004873,0.0001972828,0.000009996411,0.001164137,0.00008973687,0.9724701,0.0003975171,0.01626571,0.003507831,0.0002672871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07327685,0.0002977697,0.9143767,0.01037531,0.001360984,0.00007261936,0.0000145347,0.00004354381,0.0001816243],"genre_scores_gemma":[0.9794139,0.00007730876,0.01982555,0.0004554209,0.000209575,0.000002566502,0.000005069263,0.000007854455,0.000002800119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.906137,"threshold_uncertainty_score":0.4470413,"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."}}