Results 1  10
of
102
Elliptic Curves And Primality Proving
 Math. Comp
, 1993
"... The aim of this paper is to describe the theory and implementation of the Elliptic Curve Primality Proving algorithm. ..."
Abstract

Cited by 162 (22 self)
 Add to MetaCart
The aim of this paper is to describe the theory and implementation of the Elliptic Curve Primality Proving algorithm.
Software Implementation of Elliptic Curve Cryptography Over Binary Fields
, 2000
"... This paper presents an extensive and careful study of the software implementation on workstations of the NISTrecommended elliptic curves over binary fields. We also present the results of our implementation in C on a Pentium II 400 MHz workstation. ..."
Abstract

Cited by 150 (9 self)
 Add to MetaCart
This paper presents an extensive and careful study of the software implementation on workstations of the NISTrecommended elliptic curves over binary fields. We also present the results of our implementation in C on a Pentium II 400 MHz workstation.
Speeding Up The Computations On An Elliptic Curve Using AdditionSubtraction Chains
 Theoretical Informatics and Applications
, 1990
"... We show how to compute x k using multiplications and divisions. We use this method in the context of elliptic curves for which a law exists with the property that division has the same cost as multiplication. Our best algorithm is 11.11% faster than the ordinary binary algorithm and speeds up acco ..."
Abstract

Cited by 97 (4 self)
 Add to MetaCart
We show how to compute x k using multiplications and divisions. We use this method in the context of elliptic curves for which a law exists with the property that division has the same cost as multiplication. Our best algorithm is 11.11% faster than the ordinary binary algorithm and speeds up accordingly the factorization and primality testing algorithms using elliptic curves. 1. Introduction. Recent algorithms used in primality testing and integer factorization make use of elliptic curves defined over finite fields or Artinian rings (cf. Section 2). One can define over these sets an abelian law. As a consequence, one can transpose over the corresponding groups all the classical algorithms that were designed over Z/NZ. In particular, one has the analogue of the p \Gamma 1 factorization algorithm of Pollard [29, 5, 20, 22], the Fermatlike primality testing algorithms [1, 14, 21, 26] and the public key cryptosystems based on RSA [30, 17, 19]. The basic operation performed on an elli...
Faster Point Multiplication on Elliptic Curves with Efficient Endomorphisms
, 2001
"... The fundamental operation in elliptic curve cryptographic schemes is that of point multiplication of an elliptic curve point by an integer. This paper describes a new method for accelerating this operation on classes of elliptic curves that have efficientlycomputable endomorphisms. One advantage of ..."
Abstract

Cited by 70 (0 self)
 Add to MetaCart
The fundamental operation in elliptic curve cryptographic schemes is that of point multiplication of an elliptic curve point by an integer. This paper describes a new method for accelerating this operation on classes of elliptic curves that have efficientlycomputable endomorphisms. One advantage of the new method is that it is applicable to a larger class of curves than previous such methods.
Software Implementation of the NIST Elliptic Curves Over Prime Fields
 TOPICS IN CRYPTOLOGY – CTRSA 2001, VOLUME 2020 OF LNCS
, 2001
"... ..."
Faster addition and doubling on elliptic curves
 In Asiacrypt 2007 [10
, 2007
"... Abstract. Edwards recently introduced a new normal form for elliptic curves. Every elliptic curve over a nonbinary field is birationally equivalent to a curve in Edwards form over an extension of the field, and in many cases over the original field. This paper presents fast explicit formulas (and r ..."
Abstract

Cited by 53 (10 self)
 Add to MetaCart
Abstract. Edwards recently introduced a new normal form for elliptic curves. Every elliptic curve over a nonbinary field is birationally equivalent to a curve in Edwards form over an extension of the field, and in many cases over the original field. This paper presents fast explicit formulas (and register allocations) for group operations on an Edwards curve. The algorithm for doubling uses only 3M + 4S, i.e., 3 field multiplications and 4 field squarings. If curve parameters are chosen to be small then the algorithm for mixed addition uses only 9M + 1S and the algorithm for nonmixed addition uses only 10M + 1S. Arbitrary Edwards curves can be handled at the cost of just one extra multiplication by a curve parameter. For comparison, the fastest algorithms known for the popular “a4 = −3 Jacobian ” form use 3M + 5S for doubling; use 7M + 4S for mixed addition; use 11M + 5S for nonmixed addition; and use 10M + 4S for nonmixed addition when one input has been added before. The explicit formulas for nonmixed addition on an Edwards curve can be used for doublings at no extra cost, simplifying protection against sidechannel attacks. Even better, many elliptic curves (approximately 1/4 of all isomorphism classes of elliptic curves over a nonbinary finite field) are birationally equivalent — over the original field — to Edwards curves where this addition algorithm works for all pairs of curve points, including inverses, the neutral element, etc. This paper contains an extensive comparison of different forms of elliptic curves and different coordinate systems for the basic group operations (doubling, mixed addition, nonmixed addition, and unified addition) as well as higherlevel operations such as multiscalar multiplication.
Hessian Elliptic Curves and SideChannel Attacks
 of Lecture Notes in Computer Science
, 2001
"... Sidechannel attacks are a recent class of attacks that have been revealed to be very powerful in practice. By measuring some sidechannel information (running time, power consumption, . . . ), an attacker is able to recover some secret data from a carelessly implemented cryptoalgorithm. ..."
Abstract

Cited by 49 (7 self)
 Add to MetaCart
Sidechannel attacks are a recent class of attacks that have been revealed to be very powerful in practice. By measuring some sidechannel information (running time, power consumption, . . . ), an attacker is able to recover some secret data from a carelessly implemented cryptoalgorithm.
Some integer factorization algorithms using elliptic curves
 Australian Computer Science Communications
, 1986
"... Lenstra’s integer factorization algorithm is asymptotically one of the fastest known algorithms, and is also ideally suited for parallel computation. We suggest a way in which the algorithm can be speeded up by the addition of a second phase. Under some plausible assumptions, the speedup is of order ..."
Abstract

Cited by 47 (13 self)
 Add to MetaCart
Lenstra’s integer factorization algorithm is asymptotically one of the fastest known algorithms, and is also ideally suited for parallel computation. We suggest a way in which the algorithm can be speeded up by the addition of a second phase. Under some plausible assumptions, the speedup is of order log(p), where p is the factor which is found. In practice the speedup is significant. We mention some refinements which give greater speedup, an alternative way of implementing a second phase, and the connection with Pollard’s “p − 1” factorization algorithm. 1
Protections against Differential Analysis for Elliptic Curve Cryptography  An Algebraic Approach
 CHES 2001, LNCS 2162
, 2001
"... We propose several new methods to protect the scalar multiplication on an elliptic curve against Di#erential Analysis. The basic idea consists in transforming the curve through various random morphisms to provide a nondeterministic execution of the algorithm. The solutions ..."
Abstract

Cited by 46 (2 self)
 Add to MetaCart
We propose several new methods to protect the scalar multiplication on an elliptic curve against Di#erential Analysis. The basic idea consists in transforming the curve through various random morphisms to provide a nondeterministic execution of the algorithm. The solutions
Parallel Algorithms for Integer Factorisation
"... The problem of finding the prime factors of large composite numbers has always been of mathematical interest. With the advent of public key cryptosystems it is also of practical importance, because the security of some of these cryptosystems, such as the RivestShamirAdelman (RSA) system, depends o ..."
Abstract

Cited by 41 (17 self)
 Add to MetaCart
The problem of finding the prime factors of large composite numbers has always been of mathematical interest. With the advent of public key cryptosystems it is also of practical importance, because the security of some of these cryptosystems, such as the RivestShamirAdelman (RSA) system, depends on the difficulty of factoring the public keys. In recent years the best known integer factorisation algorithms have improved greatly, to the point where it is now easy to factor a 60decimal digit number, and possible to factor numbers larger than 120 decimal digits, given the availability of enough computing power. We describe several algorithms, including the elliptic curve method (ECM), and the multiplepolynomial quadratic sieve (MPQS) algorithm, and discuss their parallel implementation. It turns out that some of the algorithms are very well suited to parallel implementation. Doubling the degree of parallelism (i.e. the amount of hardware devoted to the problem) roughly increases the size of a number which can be factored in a fixed time by 3 decimal digits. Some recent computational results are mentioned – for example, the complete factorisation of the 617decimal digit Fermat number F11 = 2211 + 1 which was accomplished using ECM.