{"id":"W4367663098","doi":"10.1109/tvlsi.2023.3268999","title":"Speed/Area-Efficient ECC Processor Implementation Over GF(2<i> <sup>m</sup> </i>) on FPGA via Novel Algorithm-Architecture Co-Design","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elliptic curve cryptography; Computer science; Field-programmable gate array; Algorithm; Arithmetic; Parallel computing; Gate array; Elliptic curve; Embedded system; Mathematics; Public-key cryptography; Encryption; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001386227,0.0004686425,0.0002787311,0.000389238,0.0002678141,0.0004804518,0.0006867841,0.0002487236,0.002432895],"category_scores_gemma":[0.0002597762,0.0001620736,0.0002719061,0.0004051547,0.0001617537,0.0005586649,0.0002851735,0.0003099671,0.001033649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275661,"about_ca_system_score_gemma":0.0004224865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004484845,"about_ca_topic_score_gemma":0.0007007776,"domain_scores_codex":[0.9998291,0.0000258863,0.0000192842,0.0000358506,0.0000584168,0.00003151224],"domain_scores_gemma":[0.9998626,0.00002621261,0.00002121178,0.00003461273,0.00004678584,0.000008568713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006330239,0.0001593231,0.002050001,0.0003686562,0.00009825039,0.0005969446,0.0002295837,0.03912055,0.3962325,0.01706609,0.005470891,0.5379742],"study_design_scores_gemma":[0.0002269538,0.00198412,0.003425618,0.00007788283,0.0001450106,0.002448982,0.0001061574,0.4595091,0.4862335,0.005599262,0.04015991,0.00008348502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.123353,0.0008775069,0.8601313,0.0001720545,0.0001243602,0.0001534514,0.00008920182,0.003341539,0.01175755],"genre_scores_gemma":[0.6039459,0.0003600313,0.3900998,0.00009422553,0.00006214827,0.0001411894,0.0002252611,0.0001010725,0.004970425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002432895,"threshold_uncertainty_score":0.008138776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008333845369369,"score_gpt":0.2742102791230458,"score_spread":0.2541269406693521,"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."}}