{"id":"W2229191934","doi":"10.5539/mas.v9n13p85","title":"A Novel Dynamic Secret key Generation for an Efficient Image Encryption Algorithm","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Center on Nonviolent Conflict","keywords":"Encryption; Computer science; Key space; Key (lock); Key generation; Piecewise linear function; Algorithm; Image (mathematics); Entropy (arrow of time); Theoretical computer science; Chaotic; Mathematics; Computer security; Artificial intelligence","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":[0.0001418346,0.0002861423,0.000230476,0.000293588,0.0002014806,0.0002852402,0.000369659,0.0003319087,0.001888205],"category_scores_gemma":[0.0003676794,0.0001296882,0.0002107743,0.0002400768,0.0001868688,0.0006517653,0.0002980576,0.000339857,0.0005684288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054556,"about_ca_system_score_gemma":0.0002708167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427805,"about_ca_topic_score_gemma":0.0001720381,"domain_scores_codex":[0.9998535,0.00002373737,0.00001194817,0.00002971223,0.00006650088,0.00001457908],"domain_scores_gemma":[0.9999014,0.00002315554,0.00001629246,0.00001999735,0.00003188235,0.000007256036],"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":[0.0003593458,0.00008136181,0.0008266337,0.0002784112,0.00004633792,0.0005736913,0.0001391568,0.01896415,0.5897095,0.03786522,0.002215181,0.348941],"study_design_scores_gemma":[0.0001497598,0.0006704757,0.001523798,0.00003551863,0.00005958954,0.003216535,0.00004206738,0.5198713,0.4264968,0.009063464,0.03880179,0.00006882782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05410913,0.0004914295,0.9394943,0.0002061653,0.0001170636,0.0001200062,0.00006694862,0.0007127816,0.004682177],"genre_scores_gemma":[0.5442958,0.0003871542,0.4473087,0.0001122156,0.00005196639,0.0001223328,0.0001771293,0.00006141676,0.007483292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001888205,"threshold_uncertainty_score":0.006316721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416967616074863,"score_gpt":0.2843588906628362,"score_spread":0.2426621290553499,"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."}}