Aurélien Greuet, Simon Montoya, Clémence Vermeersch
{"title":"Quotient Approximation Modular Reduction","authors":"Aurélien Greuet, Simon Montoya, Clémence Vermeersch","doi":"10.1109/ARITH54963.2022.00028","DOIUrl":null,"url":null,"abstract":"Modular reduction is a core operation in public-key cryptography. While a standard modular re-duction is often required, a partial reduction limiting the growth of the coefficients is enough for several usecases. Knowing the quotient of the Euclidean division of an integer by the modulus allows to easily recover the remainder. We propose a way to compute efficiently, without divisions, an approximation of this quotient. From this approximation, both full and partial reductions are deduced. The resulting algorithms are modulus specific: the sequence of operations to perform in order to get a reduction depends on the modulus and the size of the input. We analyse the cost of our algorithms for a usecase coming from post-quantum cryptography. We show that with this modulus, our method gives an algorithm faster than prior art algorithms.","PeriodicalId":268661,"journal":{"name":"2022 IEEE 29th Symposium on Computer Arithmetic (ARITH)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 29th Symposium on Computer Arithmetic (ARITH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARITH54963.2022.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Modular reduction is a core operation in public-key cryptography. While a standard modular re-duction is often required, a partial reduction limiting the growth of the coefficients is enough for several usecases. Knowing the quotient of the Euclidean division of an integer by the modulus allows to easily recover the remainder. We propose a way to compute efficiently, without divisions, an approximation of this quotient. From this approximation, both full and partial reductions are deduced. The resulting algorithms are modulus specific: the sequence of operations to perform in order to get a reduction depends on the modulus and the size of the input. We analyse the cost of our algorithms for a usecase coming from post-quantum cryptography. We show that with this modulus, our method gives an algorithm faster than prior art algorithms.