{"id":"W3159054868","doi":"10.1109/access.2021.3077843","title":"Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; NIST; Cryptography; Energy consumption; Quantum computer; Standardization; Computer engineering; Efficient energy use; Algorithm; Theoretical computer science; Quantum; Operating system; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002091533,0.0001331354,0.0002986544,0.0009366387,0.0001450464,0.0002558786,0.00116471,0.00005121936,0.0001457073],"category_scores_gemma":[0.00001823724,0.000128942,0.0003322382,0.008567701,0.00007071594,0.0005553865,0.0002436222,0.00007465002,0.000001488383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001060895,"about_ca_system_score_gemma":0.0001105193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007623084,"about_ca_topic_score_gemma":0.0006033224,"domain_scores_codex":[0.9983721,0.00009359091,0.0003988206,0.0004403263,0.000411536,0.0002836682],"domain_scores_gemma":[0.9983814,0.0001196523,0.0001615843,0.0007549312,0.0004942382,0.00008815461],"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":[0.00001448897,0.001516787,0.03797678,0.00006403645,0.002617813,0.0001862435,0.002609612,0.002150277,0.01856748,0.8312292,0.0009675421,0.1020998],"study_design_scores_gemma":[0.001329041,0.0002614174,0.2050015,0.00003447542,0.00112694,0.00003052735,0.0004550043,0.6939766,0.06071121,0.03106994,0.004919161,0.001084123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3160479,0.0002259647,0.6827857,0.0002148178,0.000351348,0.00003392962,0.00002559386,0.00004945416,0.0002652232],"genre_scores_gemma":[0.9954653,0.0001179598,0.00392761,0.0004022593,0.00002773486,0.00001221286,0.00003127954,0.000005686935,0.000009890816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8001592,"threshold_uncertainty_score":0.5258102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577052174570968,"score_gpt":0.3169777807279819,"score_spread":0.2912072589822723,"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."}}