Multiplication in Finite Fields and Elliptic Curves

La cryptographie à clef publique permet de s'échanger des clefs de façon distante, d'effectuer des signatures électroniques, de s'authentifier à distance, etc. Dans cette thèse d'HDR nous allons présenter quelques contributions concernant l'implantation sûre et efficace de protocoles cryptographiques basés sur les courbes elliptiques. L'opération de base effectuée dans ces protocoles est la multiplication scalaire d'un point de la courbe. Chaque multiplication scalaire nécessite plusieurs milliers d'opérations dans un corps fini.Dans la première partie du manuscrit nous nous intéressons à la multiplication dans les corps finis car c'est l'opération la plus coûteuse et la plus utilisée. Nous présentons d'abord des contributions sur les multiplieurs parallèles dans les corps binaires. Un premier résultat concerne l'approche sous-quadratique dans une base normale optimale de type 2. Plus précisément, nous améliorons un multiplieur basé sur un produit de matrice de Toeplitz avec un vecteur en utilisant une recombinaison des blocs qui supprime certains calculs redondants. Nous présentons aussi un multiplieur pous les corps binaires basé sur une extension d'une optimisation de la multiplication polynomiale de Karatsuba.Ensuite nous présentons des résultats concernant la multiplication dans un corps premier. Nous présentons en particulier une approche de type Montgomery pour la multiplication dans une base adaptée à l'arithmétique modulaire. Cette approche cible la multiplication modulo un premier aléatoire. Nous présentons alors une méthode pour la multiplication dans des corps utilisés dans la cryptographie sur les couplages : les extensions de petits degrés d'un corps premier aléatoire. Cette méthode utilise une base adaptée engendrée par une racine de l'unité facilitant la multiplication polynomiale basée sur la FFT. Dans la dernière partie de cette thèse d'HDR nous nous intéressons à des résultats qui concernent la multiplication scalaire sur les courbes elliptiques. Nous présentons une parallélisation de l'échelle binaire de Montgomery dans le cas de E(GF(2^n)). Nous survolons aussi quelques contributions sur des formules de division par 3 dans E(GF(3^n)) et une parallélisation de type (third,triple)-and-add. Dans le dernier chapitre nous développons quelques directions de recherches futures. Nous discutons d'abord de possibles extensions des travaux faits sur les corps binaires. Nous présentons aussi des axes de recherche liés à la randomisation de l'arithmétique qui permet une protection contre les attaques matérielles

Fault attacks and countermeasures for elliptic curve cryptosystems

In this thesis we have developed a new algorithmic countermeasures that protect elliptic curve computation by protecting computation of the finite binary extension field, against fault attacks. Firstly, we have proposed schemes, i.e., a Chinese Remainder Theorem based fault tolerant computation in finite field for use in ECCs, as well as Lagrange Interpolation based fault tolerant computation. Our approach is based on the error correcting codes, i.e., redundant residue polynomial codes and the use of first original approach of Reed-Solomon codes. Computation of the field elements is decomposed into parallel, mutually independent, modular/identical channels, so that in case of faults at one channel, errors will not distribute to other channels. Based on these schemes we have developed new algorithms, namely fault tolerant residue representation modular multiplication algorithm and fault tolerant Lagrange representation modular multiplication algorithm, which are immune against error propagation under the fault models that we propose: Random Fault Model, Arbitrary Fault Model, and Single Bit Fault Model. These algorithms provide fault tolerant computation in GF (2k) for use in ECCs. Our new developed algorithms where inputs, i.e., field elements, are represented by the redundant residue representation/ redundant lagrange representation enables us to overcome the problem if during computation one, or both coordinates x, y GF (2k) of the point P E/GF (2k) /Fk are corrupted. We assume that during each run of an attacked algorithm, in one single attack, an adversary can apply any of the proposed fault models, i.e., either Random Fault Model, or Arbitrary Fault Model, or Single Bit Fault Model. In this way more channels can be targeted, i.e., different fault models can be used on different channels. Also, our proposed algorithms can have masked errors and will not be immune against attacks which can create those kind of errors, but it is a difficult problem to counter masked errors, since any anti-fault attack scheme will have some masked errors. Moreover, we have derived conditions that inflicted error needs to have in order to yield undetectable faulty point on non-supersingular elliptic curve over GF(2k). Our algorithmic countermeasures can be applied to any public key cryptosystem that performs computation over the finite field GF (2k)

Fast bit-level, word-level and parallel arithmetic in finite fields for elliptic curve cryptosystems

Computer and network security has recently become a popular subject due to the explosive growth of the Internet and the migration of commerce practices to the electronic medium. Thus the authenticity and privacy of the information transmitted and the data stored on networked computers is of utmost importance. The deployment of network security procedures requires the implementation of cryptographic functions. More specifically, these include encryption, decryption, authentication, digital signature algorithms and message-digest functions. Performance has always been the most critical characteristic of a cryptographic function, which determines its effectiveness. In this thesis, we concentrate on developing high-speed algorithms and architectures for number theoretic cryptosystems. Our work is mainly focused on implementing elliptic curve cryptosystems efficiently, which requires space- and time-efficient implementations of arithmetic operations over finite fields. We introduce new methods for arithmetic operations over finite fields. Methodologies such as precomputation, residue number system representation, and parallel computation are adopted to obtain efficient algorithms that are applicable on a variety of cryptographic systems and subsystems. Since arithmetic operations in finite fields also have applications in coding theory and computer algebra, the methods proposed in this thesis are applicable to these applications as well

Low Complexity Finite Field Multiplier for a New Class of Fields

Finite fields is considered as backbone of many branches in number theory, coding theory, cryptography, combinatorial designs, sequences, error-control codes, and algebraic geometry. Recently, there has been considerable attention over finite field arithmetic operations, specifically on more efficient algorithms in multiplications. Multiplication is extensively utilized in almost all branches of finite fields mentioned above. Utilizing finite field provides an advantage in designing hardware implementation since the ground field operations could be readily converted to VLSI design architecture. Moreover, due to importance and extensive usage of finite field arithmetic in cryptography, there is an obvious need for better and more efficient approach in implementation of software and/or hardware using different architectures in finite fields. This project is intended to utilize a newly found class of finite fields in conjunction with the Mastrovito algorithm to compute the polynomial multiplication more efficiently

Efficient Arithmetic for the Implementation of Elliptic Curve Cryptography

The technology of elliptic curve cryptography is now an important branch in public-key based crypto-system. Cryptographic mechanisms based on elliptic curves depend on the arithmetic of points on the curve. The most important arithmetic is multiplying a point on the curve by an integer. This operation is known as elliptic curve scalar (or point) multiplication operation. A cryptographic device is supposed to perform this operation efficiently and securely. The elliptic curve scalar multiplication operation is performed by combining the elliptic curve point routines that are defined in terms of the underlying finite field arithmetic operations. This thesis focuses on hardware architecture designs of elliptic curve operations. In the first part, we aim at finding new architectures to implement the finite field arithmetic multiplication operation more efficiently. In this regard, we propose novel schemes for the serial-out bit-level (SOBL) arithmetic multiplication operation in the polynomial basis over F_2^m. We show that the smallest SOBL scheme presented here can provide about 26-30\% reduction in area-complexity cost and about 22-24\% reduction in power consumptions for F_2^{163} compared to the current state-of-the-art bit-level multiplier schemes. Then, we employ the proposed SOBL schemes to present new hybrid-double multiplication architectures that perform two multiplications with latency comparable to the latency of a single multiplication. Then, in the second part of this thesis, we investigate the different algorithms for the implementation of elliptic curve scalar multiplication operation. We focus our interest in three aspects, namely, the finite field arithmetic cost, the critical path delay, and the protection strength from side-channel attacks (SCAs) based on simple power analysis. In this regard, we propose a novel scheme for the scalar multiplication operation that is based on processing three bits of the scalar in the exact same sequence of five point arithmetic operations. We analyse the security of our scheme and show that its security holds against both SCAs and safe-error fault attacks. In addition, we show how the properties of the proposed elliptic curve scalar multiplication scheme yields an efficient hardware design for the implementation of a single scalar multiplication on a prime extended twisted Edwards curve incorporating 8 parallel multiplication operations. Our comparison results show that the proposed hardware architecture for the twisted Edwards curve model implemented using the proposed scalar multiplication scheme is the fastest secure SCA protected scalar multiplication scheme over prime field reported in the literature

Frequency Domain Finite Field Arithmetic for Elliptic Curve Cryptography

Efficient implementation of the number theoretic transform(NTT), also known as the discrete Fourier transform(DFT) over a finite field, has been studied actively for decades and found many applications in digital signal processing. In 1971 Schonhage and Strassen proposed an NTT based asymptotically fast multiplication method with the asymptotic complexity O(m log m log log m) for multiplication of $m$-bit integers or (m-1)st degree polynomials. Schonhage and Strassen\u27s algorithm was known to be the asymptotically fastest multiplication algorithm until Furer improved upon it in 2007. However, unfortunately, both algorithms bear significant overhead due to the conversions between the time and frequency domains which makes them impractical for small operands, e.g. less than 1000 bits in length as used in many applications. With this work we investigate for the first time the practical application of the NTT, which found applications in digital signal processing, to finite field multiplication with an emphasis on elliptic curve cryptography(ECC). We present efficient parameters for practical application of NTT based finite field multiplication to ECC which requires key and operand sizes as short as 160 bits in length. With this work, for the first time, the use of NTT based finite field arithmetic is proposed for ECC and shown to be efficient. We introduce an efficient algorithm, named DFT modular multiplication, for computing Montgomery products of polynomials in the frequency domain which facilitates efficient multiplication in GF(p^m). Our algorithm performs the entire modular multiplication, including modular reduction, in the frequency domain, and thus eliminates costly back and forth conversions between the frequency and time domains. We show that, especially in computationally constrained platforms, multiplication of finite field elements may be achieved more efficiently in the frequency domain than in the time domain for operand sizes relevant to ECC. This work presents the first hardware implementation of a frequency domain multiplier suitable for ECC and the first hardware implementation of ECC in the frequency domain. We introduce a novel area/time efficient ECC processor architecture which performs all finite field arithmetic operations in the frequency domain utilizing DFT modular multiplication over a class of Optimal Extension Fields(OEF). The proposed architecture achieves extension field modular multiplication in the frequency domain with only a linear number of base field GF(p) multiplications in addition to a quadratic number of simpler operations such as addition and bitwise rotation. With its low area and high speed, the proposed architecture is well suited for ECC in small device environments such as smart cards and wireless sensor networks nodes. Finally, we propose an adaptation of the Itoh-Tsujii algorithm to the frequency domain which can achieve efficient inversion in a class of OEFs relevant to ECC. This is the first time a frequency domain finite field inversion algorithm is proposed for ECC and we believe our algorithm will be well suited for efficient constrained hardware implementations of ECC in affine coordinates