{"id":"W3122568127","doi":"","title":"Multidimensional Meet-in-the-Middle Attack and Its Applications to KATAN32/48/64","year":2011,"lang":"en","type":"article","venue":"IACR Cryptology ePrint Archive","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Block cipher; Computer science; Key (lock); Key schedule; Block size; Cipher; Computer security; Block (permutation group theory); Boomerang attack; Theoretical computer science; Cryptography; Linear cryptanalysis; Differential cryptanalysis; Mathematics; 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":[0.001385813,0.0006338306,0.0007101565,0.00206269,0.001027999,0.001294879,0.0006022821,0.0009218187,0.001949528],"category_scores_gemma":[0.004957863,0.0003137456,0.001242395,0.001187862,0.002260532,0.003570874,0.001960209,0.001637286,0.0005269375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021892,"about_ca_system_score_gemma":0.000633356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277313,"about_ca_topic_score_gemma":0.000291217,"domain_scores_codex":[0.9982975,0.0005586022,0.0000944585,0.0002354463,0.0006371627,0.0001768545],"domain_scores_gemma":[0.9972593,0.001493684,0.0003823526,0.0006029038,0.0001874326,0.00007434658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004722141,0.00009463349,0.001837493,0.0001259985,0.00009762202,0.0004162972,0.0004770787,0.1103338,0.01018204,0.8046299,0.001976779,0.0693561],"study_design_scores_gemma":[0.00002579071,0.0001637809,0.0005613714,0.00003773149,0.00002818301,0.0006448969,0.0001122395,0.7026078,0.01264409,0.2755404,0.007571854,0.00006186787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003608,0.0007908046,0.8813168,0.0008232095,0.0001025574,0.0001291494,0.0001074618,0.0002654031,0.01610374],"genre_scores_gemma":[0.7825844,0.0009616184,0.2105184,0.000155314,0.0001189791,0.0002087222,0.000120112,0.00008833741,0.005244039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00206269,"threshold_uncertainty_score":0.007414401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0884500202643863,"score_gpt":0.3116625434728875,"score_spread":0.2232125232085012,"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."}}