{"id":"W1424990225","doi":"10.1007/3-540-36552-4_12","title":"Hardware Design and Analysis of Block Cipher Components","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Parameterized complexity; Block cipher; Advanced Encryption Standard; Block (permutation group theory); Encryption; Permutation (music); S-box; Arithmetic; Theoretical computer science; Cryptography; Parallel computing; Algorithm; Mathematics; 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":[0.0002988729,0.0008008929,0.0004252525,0.000687457,0.0002615978,0.0008895044,0.0008567598,0.0004578958,0.005279921],"category_scores_gemma":[0.001156948,0.0004892488,0.0004591969,0.0004421995,0.0003688712,0.001054954,0.0003106022,0.0006793601,0.001340873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007715215,"about_ca_system_score_gemma":0.0007208102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007750135,"about_ca_topic_score_gemma":0.000966305,"domain_scores_codex":[0.9997031,0.00005166368,0.00001776972,0.00003461562,0.0001567762,0.00003595963],"domain_scores_gemma":[0.9995614,0.000185503,0.00004379571,0.00008841916,0.0001124188,0.000008469548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004308553,0.0001106097,0.001500908,0.000828631,0.0001168948,0.0002502069,0.0002026427,0.2502231,0.1693352,0.2503827,0.005316693,0.3213016],"study_design_scores_gemma":[0.00004330438,0.0002500189,0.001115189,0.0001012477,0.00007339473,0.0003487836,0.00003333976,0.8028867,0.1170583,0.06034947,0.01770768,0.00003264303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03703751,0.002093259,0.9477697,0.0001672618,0.00008598413,0.0001363812,0.000146552,0.001180738,0.01138267],"genre_scores_gemma":[0.6669378,0.002590914,0.3116747,0.00009477559,0.00007433645,0.0001944231,0.0003881708,0.0003454376,0.0176995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005279921,"threshold_uncertainty_score":0.01766312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114152866845136,"score_gpt":0.2683331192917851,"score_spread":0.2371915906233338,"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."}}