Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006 · 17 citations · 11 references
EngineeringModular FormComputational ComplexityResidue Systems EfficiencyHardware SecurityPublic Key AlgorithmAlgebraic ComplexityProducts SummationComputational Number TheoryElliptic Curves CryptographyComputer EngineeringFinite FieldModulus ProblemCryptographyTheory Of ComputingRepresentation TheoryAnalytic Number TheoryModular Products SummationResidue SystemResidue Systems
Residue systems of representation, like Residue Number Systems (RNS) for primary field(<i>GF</i>(<i>p</i>)) or Trinomial Residue Arithmetic for binary field (<i>GF</i>(2<sup><i>k</i></sup>)), are characterized by efficient multiplication and costly modular reduction. On the other hand, conventional representations allow in some cases very efficient reductions but require costly multiplications. The main purpose of this paper is to analyze the complexity of those two different approaches in the summations of products. As a matter of fact, the complexities of the reduction in residue systems and of the multiplication in classical representations are similar. One of the main features of this reduction is that it doesn't depend on the field. Moreover, the cost of multiplication in residue systems is equivalent to the cost of reduction in classical representations for special well-chosen fields. Taking those properties into account, we remark that an expression like <i>A</i> * <i>B</i> + <i>C</i> * <i>D</i>, which requires two products, one addition and one reduction, evaluates faster in a residue system than in a classical one. So we propose to study types of expressions to offer a guide for choosing a most appropriate representation. One of the best domain of application is the Elliptic Curves Cryptography where addition and doubling points formulas are composed of products summation. The different kinds of coordinates like affine, projective, and Jacobean, offer a good choice of expressions for our study.
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Modular multiplication without trial division
Peter L. Montgomery · Mathematics of Computation · 1985 · 2.3K citations
Speeding the Pollard and elliptic curve methods of factorization
Peter L. Montgomery · Mathematics of Computation · 1987 · 1.2K citations · Full text
Harvey L. Garner · 1959 · 341 citations