{"id":"W2102271599","doi":"10.1109/iscas.2013.6572407","title":"High performance scalable elliptic curve cryptosystem processor in GF(2<sup>m</sup>)","year":2013,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Elliptic curve cryptography; NIST; Computer science; Scalability; Elliptic curve; Elliptic curve point multiplication; Field-programmable gate array; Multiplication (music); Parallel computing; Hessian form of an elliptic curve; Cryptography; Elliptic Curve Digital Signature Algorithm; Arithmetic; Finite field; Cryptosystem; Embedded system; Computer hardware; Public-key cryptography; Algorithm; Mathematics; Operating system; Encryption; Discrete mathematics","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":[0.000160504,0.0003524651,0.0003440895,0.0004559494,0.0002780983,0.0003644125,0.0005381105,0.0002531018,0.006860928],"category_scores_gemma":[0.0003370706,0.0001014967,0.0001922686,0.000573428,0.0001448888,0.000758644,0.0003225355,0.0003134987,0.001839832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002497,"about_ca_system_score_gemma":0.0004938095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004086689,"about_ca_topic_score_gemma":0.000748357,"domain_scores_codex":[0.9998835,0.00001374066,0.000009133028,0.00002643905,0.0000425435,0.00002457024],"domain_scores_gemma":[0.9998509,0.00003200308,0.00001860786,0.00003301739,0.00005123728,0.00001425877],"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":[0.0008493873,0.0002075715,0.001657979,0.0003542003,0.00006041383,0.0008993033,0.0001426554,0.02467544,0.4605722,0.01949672,0.01535175,0.4757324],"study_design_scores_gemma":[0.000373524,0.002799812,0.005547494,0.0001361025,0.000136771,0.00286798,0.0001980291,0.3664246,0.5287568,0.01042696,0.08224664,0.00008532598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3465575,0.001963671,0.5980119,0.0004639404,0.0003846696,0.0003287426,0.0005257018,0.009822602,0.04194139],"genre_scores_gemma":[0.775096,0.0003706813,0.2119704,0.0001330679,0.00008960385,0.0001126065,0.0007033318,0.0001008195,0.01142347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006860928,"threshold_uncertainty_score":0.02295214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074766083205659,"score_gpt":0.1954117804089151,"score_spread":0.1879351720883492,"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."}}