{"id":"W2090964036","doi":"10.1155/2012/173931","title":"A Secure Image Encryption Algorithm Based on Rubik′s Cube Principle","year":2012,"lang":"en","type":"article","venue":"Journal of Electrical and Computer Engineering","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Encryption; Cube (algebra); Image (mathematics); Algorithm; Cryptography; Key space; Bitwise operation; Probabilistic encryption; Computer science; Key (lock); Digital image; 40-bit encryption; Multiple encryption; Mathematics; Theoretical computer science; Image processing; Computer vision; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0003763271,0.0001838306,0.0002377942,0.0003280279,0.00005353013,0.0001315931,0.000312526,0.00006850121,0.00000579246],"category_scores_gemma":[0.00003390857,0.0001544307,0.0001169205,0.0004517685,0.00001118556,0.0007988568,0.00007021893,0.0004382969,0.000008429545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116335,"about_ca_system_score_gemma":0.00004560049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001152979,"about_ca_topic_score_gemma":2.489425e-8,"domain_scores_codex":[0.9986568,0.00004675316,0.0003443962,0.0001659515,0.0004036896,0.0003823955],"domain_scores_gemma":[0.999127,0.0001659861,0.0001511498,0.0001660843,0.000118505,0.0002713018],"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":[0.0001363283,0.001537813,0.0008440267,0.0001781247,0.000175033,0.0003512891,0.000751005,0.09695379,0.06955738,0.02893154,0.002516804,0.7980669],"study_design_scores_gemma":[0.0005346732,0.0005334078,0.004315866,0.00005695514,0.00001109957,0.0002440676,4.826181e-7,0.9883679,0.003322141,0.0001209656,0.002312069,0.0001803392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01753276,0.0002759594,0.9813461,0.000222425,0.0004540391,0.00006905693,5.703358e-7,0.00006912545,0.00002994708],"genre_scores_gemma":[0.5362304,0.00001889864,0.4624441,0.0002978685,0.0009835379,0.0000026373,8.932674e-7,0.0000149318,0.000006714543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8914142,"threshold_uncertainty_score":0.6297501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004841321443136892,"score_gpt":0.2090535965394055,"score_spread":0.2042122750962686,"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."}}