{"id":"W2644882662","doi":"10.1007/978-981-10-5421-1_2","title":"Security Analysis of a Design Variant of Randomized Hashing","year":2017,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Random oracle; Hash function; Universal hashing; Computer science; Theoretical computer science; Ideal (ethics); Block cipher; Scheme (mathematics); Encryption; Discrete mathematics; Algorithm; Mathematics; Cryptography; Computer security; Double hashing; Cryptographic hash function; Public-key cryptography","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":[0.005246491,0.001172642,0.001467716,0.001109103,0.0009586511,0.002798702,0.003364431,0.002509052,0.007047209],"category_scores_gemma":[0.01875346,0.001042952,0.001804275,0.001339819,0.00425551,0.005994318,0.003488692,0.003969918,0.001308664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738616,"about_ca_system_score_gemma":0.002265492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005422286,"about_ca_topic_score_gemma":0.0004197005,"domain_scores_codex":[0.9923808,0.002802761,0.0002482707,0.0009695022,0.002617205,0.00098146],"domain_scores_gemma":[0.9827523,0.01025401,0.000775212,0.004853624,0.001106841,0.000258018],"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":[0.0006000215,0.0001413331,0.0008015924,0.0002299143,0.00009083244,0.0001332323,0.0001457801,0.08546171,0.00708096,0.8588157,0.004166945,0.04233211],"study_design_scores_gemma":[0.0001576162,0.0003192987,0.0003524859,0.00005947837,0.00009069455,0.0002940247,0.00004228215,0.519336,0.005144116,0.4699642,0.004181818,0.00005797944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04653154,0.001039043,0.9304078,0.001378248,0.0002625904,0.0002061292,0.0001418383,0.0006783507,0.01935444],"genre_scores_gemma":[0.8480488,0.0007199444,0.1367484,0.0006240275,0.0005852448,0.0002767884,0.0002302263,0.0002766586,0.01248977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007047209,"threshold_uncertainty_score":0.02774644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05787759745006473,"score_gpt":0.3294114474565487,"score_spread":0.271533850006484,"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."}}