{"id":"W4387763778","doi":"10.23977/acss.2023.070811","title":"Research on Design of Chaotic Symmetrical Digital Image Encryption System","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Encryption; Computer science; Digital image; Chaotic; Watermarking attack; Differential (mechanical device); CHAOS (operating system); On-the-fly encryption; Image (mathematics); Probabilistic encryption; Symmetric-key algorithm; 56-bit encryption; Theoretical computer science; Computer security; Computer vision; Artificial intelligence; Image processing; Public-key cryptography; Engineering","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":[0.002733915,0.0002148196,0.0004454353,0.001257293,0.0001225867,0.0004265743,0.0006853995,0.00009464671,9.767166e-7],"category_scores_gemma":[0.00007032807,0.0001891513,0.00006206679,0.00276476,0.0001253294,0.001459748,0.0003006005,0.0002738973,0.0001134609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527517,"about_ca_system_score_gemma":0.00005669353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497105,"about_ca_topic_score_gemma":4.957998e-7,"domain_scores_codex":[0.9965239,0.0006443753,0.0006583112,0.0006887928,0.0009632118,0.0005214048],"domain_scores_gemma":[0.9968172,0.002103818,0.0001818876,0.0005018855,0.0002664024,0.0001287487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001770235,0.0004204789,0.0008006686,0.002477596,0.0000585113,0.0006222423,0.001335871,0.62113,0.008722811,0.143365,0.001386383,0.2195034],"study_design_scores_gemma":[0.0004936924,0.0007217459,0.0004463632,0.0008320293,0.000002120965,0.00003995812,0.0001608727,0.9950078,0.0005936741,0.001302412,0.0001902232,0.0002091613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01341856,0.001385451,0.9830844,0.00006932032,0.0008153064,0.0006139347,0.00000770884,0.0002351901,0.0003700858],"genre_scores_gemma":[0.992105,0.0002037528,0.007349053,0.00001451696,0.0002103679,0.00006625932,0.00000541471,0.00001768793,0.00002792466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786865,"threshold_uncertainty_score":0.7713366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07069708062927944,"score_gpt":0.3442507270445561,"score_spread":0.2735536464152767,"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."}}