{"title":"整数的随机数字表示","authors":"N. Méloni, M. A. Hasan","doi":"10.1109/ARITH.2016.11","DOIUrl":null,"url":null,"abstract":"Modular exponentiation, or scalar multiplication, is core to today's main stream public key cryptographic systems. In this article we generalize the classical fractional wNAF method for modular exponentiation - the classical method uses a digit set of the form {1, 3, . . . , m} which is extended here to any set of odd integers of the form {1, d2, . . . , dn}. We propose a general modular exponentiation algorithm based on a generalization of the frac-wNAF recoding and a new precomputation scheme. We also give general formula for the average density of non-zero therms in these representations, prove that there are infinitely many optimal sets for a given number of digits and show that the asymptotic behavior, when those digits are randomly chosen, is very close to the optimal case.","PeriodicalId":145448,"journal":{"name":"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Random Digit Representation of Integers\",\"authors\":\"N. Méloni, M. A. Hasan\",\"doi\":\"10.1109/ARITH.2016.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modular exponentiation, or scalar multiplication, is core to today's main stream public key cryptographic systems. In this article we generalize the classical fractional wNAF method for modular exponentiation - the classical method uses a digit set of the form {1, 3, . . . , m} which is extended here to any set of odd integers of the form {1, d2, . . . , dn}. We propose a general modular exponentiation algorithm based on a generalization of the frac-wNAF recoding and a new precomputation scheme. We also give general formula for the average density of non-zero therms in these representations, prove that there are infinitely many optimal sets for a given number of digits and show that the asymptotic behavior, when those digits are randomly chosen, is very close to the optimal case.\",\"PeriodicalId\":145448,\"journal\":{\"name\":\"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARITH.2016.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARITH.2016.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modular exponentiation, or scalar multiplication, is core to today's main stream public key cryptographic systems. In this article we generalize the classical fractional wNAF method for modular exponentiation - the classical method uses a digit set of the form {1, 3, . . . , m} which is extended here to any set of odd integers of the form {1, d2, . . . , dn}. We propose a general modular exponentiation algorithm based on a generalization of the frac-wNAF recoding and a new precomputation scheme. We also give general formula for the average density of non-zero therms in these representations, prove that there are infinitely many optimal sets for a given number of digits and show that the asymptotic behavior, when those digits are randomly chosen, is very close to the optimal case.