{"id":"W2164486206","doi":"10.1109/smc.2013.751","title":"Multi Image Encryption and Steganography Based on Synchronization of Chaotic Lasers","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Encryption; Key space; Steganography; Computer science; Robustness (evolution); Steganography tools; Cryptography; Chaotic; Theoretical computer science; Embedding; Synchronization (alternating current); Algorithm; Symmetric-key algorithm; Artificial intelligence; Public-key cryptography; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546371,0.0002489832,0.0002420703,0.0004146721,0.0001921489,0.0002316504,0.0003198918,0.0003351613,0.0008185777],"category_scores_gemma":[0.0005054342,0.0001506312,0.0002761353,0.0002424609,0.0004932849,0.0006997731,0.0004404732,0.000323803,0.0001800783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250807,"about_ca_system_score_gemma":0.0002374708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558145,"about_ca_topic_score_gemma":0.0002543161,"domain_scores_codex":[0.9997639,0.00005055609,0.00001176053,0.00003160502,0.0001195762,0.0000225789],"domain_scores_gemma":[0.9997866,0.00009609736,0.00004562907,0.00003148488,0.00002990311,0.00001035935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002738152,0.00007796213,0.00117193,0.0001946118,0.00006353515,0.0003958124,0.0001312193,0.02102584,0.826672,0.05230226,0.0003297218,0.09736131],"study_design_scores_gemma":[0.00008061893,0.0008446985,0.002805764,0.00004756395,0.00006339837,0.001828061,0.00005957288,0.2668318,0.7093663,0.008875818,0.009145199,0.00005117253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2915535,0.001153604,0.6992869,0.0003153251,0.0001080258,0.0001375715,0.00003861099,0.0003189728,0.007087545],"genre_scores_gemma":[0.8457111,0.0006240215,0.150298,0.00006392777,0.00003633412,0.00007232562,0.00002758866,0.00002608601,0.003140597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008185777,"threshold_uncertainty_score":0.002738416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008213610950835776,"score_gpt":0.2229461134100218,"score_spread":0.214732502459186,"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."}}