Recommendation for Discrete Logarithm-Based Cryptography
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A Public-Key Cryptosystem Based on Discrete Logarithm Problem Over Finite Fields 퐅퐩퐧
IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 11, Issue 1 Ver. III (Jan - Feb. 2015), PP 01-03 www.iosrjournals.org A Public-Key Cryptosystem Based On Discrete Logarithm Problem over Finite Fields 퐅퐩퐧 Saju M I1, Lilly P L2 1Assistant Professor, Department of Mathematics, St. Thomas’ College, Thrissur, India 2Associate professor, Department of Mathematics, St. Joseph’s College, Irinjalakuda, India Abstract: One of the classical problems in mathematics is the Discrete Logarithm Problem (DLP).The difficulty and complexity for solving DLP is used in most of the cryptosystems. In this paper we design a public key system based on the ring of polynomials over the field 퐹푝 is developed. The security of the system is based on the difficulty of finding discrete logarithms over the function field 퐹푝푛 with suitable prime p and sufficiently large n. The presented system has all features of ordinary public key cryptosystem. Keywords: Discrete logarithm problem, Function Field, Polynomials over finite fields, Primitive polynomial, Public key cryptosystem. I. Introduction For the construction of a public key cryptosystem, we need a finite extension field Fpn overFp. In our paper [1] we design a public key cryptosystem based on discrete logarithm problem over the field F2. Here, for increasing the complexity and difficulty for solving DLP, we made a proper additional modification in the system. A cryptosystem for message transmission means a map from units of ordinary text called plaintext message units to units of coded text called cipher text message units. The face of cryptography was radically altered when Diffie and Hellman invented an entirely new type of cryptography, called public key [Diffie and Hellman 1976][2]. -
2.3 Diffie–Hellman Key Exchange
2.3. Di±e{Hellman key exchange 65 q q q q q q 6 q qq q q q q q q 900 q q q q q q q qq q q q q q q q q q q q q q q q q 800 q q q qq q q q q q q q q q qq q q q q q q q q q q q 700 q q q q q q q q q q q q q q q q q q q q q q q q q q qq q 600 q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q qq q q q q q q q q 500 q qq q q q q q qq q q q q q qqq q q q q q q q q q q q q q qq q q q 400 q q q q q q q q q q q q q q q q q q q q q q q q q 300 q q q q q q q q q q q q q q q q q q qqqq qqq q q q q q q q q q q q 200 q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q qq q q 100 q q q q q q q q q q q q q q q q q q q q q q q q q 0 q - 0 30 60 90 120 150 180 210 240 270 Figure 2.2: Powers 627i mod 941 for i = 1; 2; 3;::: any group and use the group law instead of multiplication. -
Elliptic Curve Arithmetic for Cryptography
Elliptic Curve Arithmetic for Cryptography Srinivasa Rao Subramanya Rao August 2017 A Thesis submitted for the degree of Doctor of Philosophy of The Australian National University c Copyright by Srinivasa Rao Subramanya Rao 2017 All Rights Reserved Declaration I confirm that this thesis is a result of my own work, except as cited in the references. I also confirm that I have not previously submitted any part of this work for the purposes of an award of any degree or diploma from any University. Srinivasa Rao Subramanya Rao March 2017. Previously Published Content During the course of research contributing to this thesis, the following papers were published by the author of this thesis. This PhD thesis contains material from these papers: 1. Srinivasa Rao Subramanya Rao, A Note on Schoenmakers Algorithm for Multi Exponentiation, 12th International Conference on Security and Cryptography (Colmar, France), Proceedings of SECRYPT 2015, pages 384-391. 2. Srinivasa Rao Subramanya Rao, Interesting Results Arising from Karatsuba Multiplication - Montgomery family of formulae, in Proceedings of Sixth International Conference on Computer and Communication Technology 2015 (Allahabad, India), pages 317-322. 3. Srinivasa Rao Subramanya Rao, Three Dimensional Montgomery Ladder, Differential Point Tripling on Montgomery Curves and Point Quintupling on Weierstrass' and Edwards Curves, 8th International Conference on Cryptology in Africa, Proceedings of AFRICACRYPT 2016, (Fes, Morocco), LNCS 9646, Springer, pages 84-106. 4. Srinivasa Rao Subramanya Rao, Differential Addition in Edwards Coordinates Revisited and a Short Note on Doubling in Twisted Edwards Form, 13th International Conference on Security and Cryptography (Lisbon, Portugal), Proceedings of SECRYPT 2016, pages 336-343 and 5. -
Making NTRU As Secure As Worst-Case Problems Over Ideal Lattices
Making NTRU as Secure as Worst-Case Problems over Ideal Lattices Damien Stehlé1 and Ron Steinfeld2 1 CNRS, Laboratoire LIP (U. Lyon, CNRS, ENS Lyon, INRIA, UCBL), 46 Allée d’Italie, 69364 Lyon Cedex 07, France. [email protected] – http://perso.ens-lyon.fr/damien.stehle 2 Centre for Advanced Computing - Algorithms and Cryptography, Department of Computing, Macquarie University, NSW 2109, Australia [email protected] – http://web.science.mq.edu.au/~rons Abstract. NTRUEncrypt, proposed in 1996 by Hoffstein, Pipher and Sil- verman, is the fastest known lattice-based encryption scheme. Its mod- erate key-sizes, excellent asymptotic performance and conjectured resis- tance to quantum computers could make it a desirable alternative to fac- torisation and discrete-log based encryption schemes. However, since its introduction, doubts have regularly arisen on its security. In the present work, we show how to modify NTRUEncrypt to make it provably secure in the standard model, under the assumed quantum hardness of standard worst-case lattice problems, restricted to a family of lattices related to some cyclotomic fields. Our main contribution is to show that if the se- cret key polynomials are selected by rejection from discrete Gaussians, then the public key, which is their ratio, is statistically indistinguishable from uniform over its domain. The security then follows from the already proven hardness of the R-LWE problem. Keywords. Lattice-based cryptography, NTRU, provable security. 1 Introduction NTRUEncrypt, devised by Hoffstein, Pipher and Silverman, was first presented at the Crypto’96 rump session [14]. Although its description relies on arithmetic n over the polynomial ring Zq[x]=(x − 1) for n prime and q a small integer, it was quickly observed that breaking it could be expressed as a problem over Euclidean lattices [6]. -
The Discrete Log Problem and Elliptic Curve Cryptography
THE DISCRETE LOG PROBLEM AND ELLIPTIC CURVE CRYPTOGRAPHY NOLAN WINKLER Abstract. In this paper, discrete log-based public-key cryptography is ex- plored. Specifically, we first examine the Discrete Log Problem over a general cyclic group and algorithms that attempt to solve it. This leads us to an in- vestigation of the security of cryptosystems based over certain specific cyclic × groups: Fp, Fp , and the cyclic subgroup generated by a point on an elliptic curve; we ultimately see the highest security comes from using E(Fp) as our group. This necessitates an introduction of elliptic curves, which is provided. Finally, we conclude with cryptographic implementation considerations. Contents 1. Introduction 2 2. Public-Key Systems Over a Cyclic Group G 3 2.1. ElGamal Messaging 3 2.2. Diffie-Hellman Key Exchanges 4 3. Security & Hardness of the Discrete Log Problem 4 4. Algorithms for Solving the Discrete Log Problem 6 4.1. General Cyclic Groups 6 × 4.2. The cyclic group Fp 9 4.3. Subgroup Generated by a Point on an Elliptic Curve 10 5. Elliptic Curves: A Better Group for Cryptography 11 5.1. Basic Theory and Group Law 11 5.2. Finding the Order 12 6. Ensuring Security 15 6.1. Special Cases and Notes 15 7. Further Reading 15 8. Acknowledgments 15 References 16 1 2 NOLAN WINKLER 1. Introduction In this paper, basic knowledge of number theory and abstract algebra is assumed. Additionally, rather than beginning from classical symmetric systems of cryptog- raphy, such as the famous Caesar or Vigni`ere ciphers, we assume a familiarity with these systems and why they have largely become obsolete on their own. -
Sieve Algorithms for the Discrete Logarithm in Medium Characteristic Finite Fields Laurent Grémy
Sieve algorithms for the discrete logarithm in medium characteristic finite fields Laurent Grémy To cite this version: Laurent Grémy. Sieve algorithms for the discrete logarithm in medium characteristic finite fields. Cryptography and Security [cs.CR]. Université de Lorraine, 2017. English. NNT : 2017LORR0141. tel-01647623 HAL Id: tel-01647623 https://tel.archives-ouvertes.fr/tel-01647623 Submitted on 24 Nov 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. AVERTISSEMENT Ce document est le fruit d'un long travail approuvé par le jury de soutenance et mis à disposition de l'ensemble de la communauté universitaire élargie. Il est soumis à la propriété intellectuelle de l'auteur. Ceci implique une obligation de citation et de référencement lors de l’utilisation de ce document. D'autre part, toute contrefaçon, plagiat, reproduction illicite encourt une poursuite pénale. Contact : [email protected] LIENS Code de la Propriété Intellectuelle. articles L 122. 4 Code de la Propriété Intellectuelle. articles L 335.2- L 335.10 http://www.cfcopies.com/V2/leg/leg_droi.php -
Comparing the Difficulty of Factorization and Discrete Logarithm: a 240-Digit Experiment⋆
Comparing the Difficulty of Factorization and Discrete Logarithm: a 240-digit Experiment? Fabrice Boudot1, Pierrick Gaudry2, Aurore Guillevic2[0000−0002−0824−7273], Nadia Heninger3, Emmanuel Thomé2, and Paul Zimmermann2[0000−0003−0718−4458] 1 Université de Limoges, XLIM, UMR 7252, F-87000 Limoges, France 2 Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France 3 University of California, San Diego, USA In memory of Peter L. Montgomery Abstract. We report on two new records: the factorization of RSA-240, a 795-bit number, and a discrete logarithm computation over a 795-bit prime field. Previous records were the factorization of RSA-768 in 2009 and a 768-bit discrete logarithm computation in 2016. Our two computations at the 795-bit level were done using the same hardware and software, and show that computing a discrete logarithm is not much harder than a factorization of the same size. Moreover, thanks to algorithmic variants and well-chosen parameters, our computations were significantly less expensive than anticipated based on previous records. The last page of this paper also reports on the factorization of RSA-250. 1 Introduction The Diffie-Hellman protocol over finite fields and the RSA cryptosystem were the first practical building blocks of public-key cryptography. Since then, several other cryptographic primitives have entered the landscape, and a significant amount of research has been put into the development, standardization, cryptanalysis, and optimization of implementations for a large number of cryptographic primitives. Yet the prevalence of RSA and finite field Diffie-Hellman is still a fact: between November 11, 2019 and December 11, 2019, the ICSI Certificate Notary [21] observed that 90% of the TLS certificates used RSA signatures, and 7% of the TLS connections used RSA for key exchange. -
The Complete Cost of Cofactor H = 1
The complete cost of cofactor h = 1 Peter Schwabe and Daan Sprenkels Radboud University, Digital Security Group, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands [email protected], [email protected] Abstract. This paper presents optimized software for constant-time variable-base scalar multiplication on prime-order Weierstraß curves us- ing the complete addition and doubling formulas presented by Renes, Costello, and Batina in 2016. Our software targets three different mi- croarchitectures: Intel Sandy Bridge, Intel Haswell, and ARM Cortex- M4. We use a 255-bit elliptic curve over F2255−19 that was proposed by Barreto in 2017. The reason for choosing this curve in our software is that it allows most meaningful comparison of our results with optimized software for Curve25519. The goal of this comparison is to get an under- standing of the cost of using cofactor-one curves with complete formulas when compared to widely used Montgomery (or twisted Edwards) curves that inherently have a non-trivial cofactor. Keywords: Elliptic Curve Cryptography · SIMD · Curve25519 · scalar multiplication · prime-field arithmetic · cofactor security 1 Introduction Since its invention in 1985, independently by Koblitz [34] and Miller [38], elliptic- curve cryptography (ECC) has widely been accepted as the state of the art in asymmetric cryptography. This success story is mainly due to the fact that attacks have not substantially improved: with a choice of elliptic curve that was in the 80s already considered conservative, the best attack for solving the elliptic- curve discrete-logarithm problem is still the generic Pollard-rho algorithm (with minor speedups, for example by exploiting the efficiently computable negation map in elliptic-curve groups [14]). -
Montgomery Curves and the Montgomery Ladder
Montgomery curves and the Montgomery ladder Daniel J. Bernstein and Tanja Lange Technische Universiteit Eindhoven, The Netherlands University of Illinois at Chicago, USA Abstract. The Montgomery ladder is a remarkably simple method of computing scalar multiples of points on a broad class of elliptic curves. This article surveys a wide range of topics related to the Montgomery ladder, both from the historical perspective of Weierstrass curves and from the modern perspective of Edwards curves. New material includes a full proof of a complete constant-time ladder algorithm suitable for cryptographic applications. This article is planned to appear as Chapter 4 of the book Topics in Com- putational Number Theory inspired by Peter L. Montgomery, edited by Joppe W. Bos and Arjen K. Lenstra. Two cross-references are to de- scriptions of ECM in FFT extension for algebraic-group factorization algorithms, by Richard P. Brent, Alexander Kruppa, and Paul Zimmer- mann, which is planned to appear as Chapter 9 of the same book. Author list in alphabetical order; see https://www.ams.org/profession/ leaders/culture/CultureStatement04.pdf. This work was supported by the Commission of the European Communities through the Horizon 2020 program under project ICT-645421 (ECRYPT-CSA), by the U.S. National Sci- ence Foundation under grants 1018836 and 1314919, and by the Netherlands Organisation for Scientific Research (NWO) under grant 639.073.005. “Any opinions, findings, and conclusions or recommendations expressed in this ma- terial are those of the author(s) and do not necessarily reflect the views of the National Science Foundation” (or other funding agencies). -
18.783 S17 Elliptic Curves Lecture 11: Index Calculus, Smooth Numbers, Factoring Integers
18.783 Elliptic Curves Spring 2017 Lecture #11 03/15/2017 11 Index calculus, smooth numbers, and factoring integers Having explored generic algorithms for the discrete logarithm problem in some detail, we now consider a non-generic algorithm that uses index calculus. 1 This algorithm depends critically on the distribution of smooth numbers (integers with small prime factors), which naturally leads to a discussion of two algorithms for factoring integers that also depend on smooth numbers: the Pollard p − 1 method and the elliptic curve method (ECM). 11.1 Index calculus Index calculus is a method for computing discrete logarithms in the multiplicative group of a finite field. This might not seem directly relevant to the elliptic curve discrete logarithm problem, but aswe shall see whenwe discuss pairing-based cryptography, thesetwo problems are not unrelated. Moreover, the same approach can be applied to elliptic curves over non- prime finite fields, as well as abelian varieties of higher dimension [7, 8, 9].2 We will restrict our attention to the simplest case, a finite field of prime order p. Let us identify Fp ' Z=pZ with our usual choice of representatives for Z=pZ, integers in the interval [0;N], with N = p − 1. This innocent looking statement is precisely what will allow us to “cheat”, that is, to do something that a generic algorithm cannot. It lets us lift elements of Fp ' Z=pZ to the ring Z where we may consider their prime factorizations, something that makes no sense in a multiplicative group (every element is a unit) and is not available to a generic algorithm. -
Twisted Edwards Curves
Twisted Edwards Curves Daniel J. Bernstein1, Peter Birkner2, Marc Joye3, Tanja Lange2, and Christiane Peters2 1 Department of Mathematics, Statistics, and Computer Science (M/C 249) University of Illinois at Chicago, Chicago, IL 60607–7045, USA [email protected] 2 Department of Mathematics and Computer Science Technische Universiteit Eindhoven, P.O. Box 513, 5600 MB Eindhoven, Netherlands [email protected], [email protected], [email protected] 3 Thomson R&D France Technology Group, Corporate Research, Security Laboratory 1 avenue de Belle Fontaine, 35576 Cesson-S´evign´eCedex, France [email protected] Abstract. This paper introduces “twisted Edwards curves,” a general- ization of the recently introduced Edwards curves; shows that twisted Edwards curves include more curves over finite fields, and in particular every elliptic curve in Montgomery form; shows how to cover even more curves via isogenies; presents fast explicit formulas for twisted Edwards curves in projective and inverted coordinates; and shows that twisted Edwards curves save time for many curves that were already expressible as Edwards curves. Keywords: Elliptic curves, Edwards curves, twisted Edwards curves, Montgomery curves, isogenies. 1 Introduction Edwards in [13], generalizing an example from Euler and Gauss, introduced an addition law for the curves x2 + y2 = c2(1 + x2y2) over a non-binary field k. Edwards showed that every elliptic curve over k can be expressed in the form x2 + y2 = c2(1 + x2y2) if k is algebraically closed. However, over a finite field, only a small fraction of elliptic curves can be expressed in this form. Bernstein and Lange in [4] presented fast explicit formulas for addition and doubling in coordinates (X : Y : Z) representing (x, y) = (X/Z, Y/Z) on an Edwards curve, and showed that these explicit formulas save time in elliptic- curve cryptography. -
Isomorphism Classes of Edwards Curves Over Finite Fields
Isomorphism classes of Edwards curves over finite fields Reza Rezaeian Farashahi Department of Computing Macquarie University Sydney, NSW 2109, Australia and Department of Mathematical Sciences Isfahan University of Technology P.O. Box 85145 Isfahan, Iran [email protected] Dustin Moody National Institute of Standards and Technology (NIST) 100 Bureau Drive, Gaithersburg, MD, 20899, USA [email protected] Hongfeng Wu College of Sciences North China University of Technology Beijing 100144, P.R. China [email protected] Abstract Edwards curves are an alternate model for elliptic curves, which have attracted notice in cryptography. We give exact formulas for the number of Fq-isomorphism classes of Edwards curves and twisted Ed wards curves. This answers a question recently asked by R. Farashahi and I. Shparlinski. 1 1 Introduction Elliptic curves have been an object of much study in mathematics. Recall that an elliptic curve is a smooth projective genus 1 curve, with a given rational point. The traditional model for an elliptic curve has been the Weierstrass equation 2 3 2 Y + a1XY + a3Y = X + a2X + a4X + a6; where the ai are elements in some field F. While other models for elliptic curves have long been known, in the past few years there has been renewed interest in these alternate models. This attention has primarily come from the cryptographic community. In 2007, Edwards proposed a new model for elliptic curves [10]. Let F be a field with characteristic p 6= 2. These original Edwards curves, defined over F, are given by the equation 2 2 2 2 2 EE;c : X + Y = c (1 + X Y ); (1) with c 2 F and c5 6= c.