{"id":"W2779154616","doi":"10.1109/cns.2017.8228669","title":"Cryptanalysis of stream cipher using density evolution","year":2017,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Stream cipher; Correlation attack; Stream cipher attack; Ciphertext; Computer science; Cryptanalysis; Keystream; Algorithm; Theoretical computer science; Cryptography; Computer security; Encryption","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":[0.0006688244,0.0002911032,0.0003408708,0.0004796905,0.0002637591,0.0004363668,0.0003419766,0.0004037037,0.0007087782],"category_scores_gemma":[0.002798363,0.0001452835,0.0003509576,0.0003173783,0.0008522414,0.0009651521,0.0005053323,0.0004118994,0.000112506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547924,"about_ca_system_score_gemma":0.0005404452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004901444,"about_ca_topic_score_gemma":0.0003358987,"domain_scores_codex":[0.9995329,0.0001150404,0.00001565802,0.00004113764,0.0002518379,0.00004336945],"domain_scores_gemma":[0.9991071,0.0005589867,0.0001240057,0.0001054314,0.00008476658,0.00001976528],"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":[0.0003468479,0.00008056848,0.006151228,0.0001905801,0.0001122852,0.000523196,0.0002700001,0.391841,0.08779525,0.447371,0.0006902968,0.06462763],"study_design_scores_gemma":[0.00001725404,0.00008297202,0.0007916095,0.00001380153,0.0000124167,0.0002479179,0.00001441931,0.9448381,0.02736568,0.02579297,0.0008114445,0.00001137539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4161498,0.0004299377,0.5759733,0.0003396751,0.00003720966,0.00009132818,0.00004412166,0.0003072786,0.0066273],"genre_scores_gemma":[0.9615324,0.0002260294,0.03694209,0.00003853234,0.00001176443,0.00002875371,0.0000208849,0.00001663794,0.001182899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007087782,"threshold_uncertainty_score":0.004750848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626668227831239,"score_gpt":0.27037643313201,"score_spread":0.2441097508536977,"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."}}