{"id":"W2021418829","doi":"10.1016/j.procs.2011.08.033","title":"An evolutionary computation attack on one-round TEA","year":2011,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Byte; Ciphertext; Computation; Encryption; Key (lock); Word (group theory); Theoretical computer science; Population; Algorithm; Mathematics; Computer security; Operating system","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":[0.0007770875,0.000294434,0.0004188328,0.0003186004,0.0004950954,0.0005490172,0.0005266357,0.000783182,0.001249053],"category_scores_gemma":[0.003063042,0.0001380008,0.0004999371,0.0002297186,0.0008228974,0.0008221728,0.001091524,0.0006290291,0.0001936924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830135,"about_ca_system_score_gemma":0.0003322648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004252564,"about_ca_topic_score_gemma":0.0002309766,"domain_scores_codex":[0.9991693,0.0002608387,0.00003235745,0.0001144341,0.000285826,0.0001371116],"domain_scores_gemma":[0.9990309,0.00044746,0.00009736627,0.0002980712,0.00008774275,0.0000383752],"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":[0.0006763004,0.0001187883,0.004827987,0.0001710435,0.0002537726,0.001346562,0.0006927879,0.4500484,0.1128142,0.3156083,0.001561032,0.1118808],"study_design_scores_gemma":[0.00003987253,0.0002256504,0.00102016,0.00001748339,0.00003684541,0.0007258289,0.00005885241,0.9079065,0.03725839,0.04820365,0.004481479,0.00002539877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3928927,0.0002339782,0.5904764,0.0006187941,0.00009060521,0.00009571888,0.00004809116,0.0004666855,0.01507701],"genre_scores_gemma":[0.9584996,0.00006702702,0.03825951,0.00009313638,0.000007854685,0.00004268187,0.00002187176,0.00003315687,0.002975261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001249053,"threshold_uncertainty_score":0.004178464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09420885618557555,"score_gpt":0.3271113205531022,"score_spread":0.2329024643675266,"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."}}