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Revisiting Elliptic Curve Cryptography with Applications to Post-Quantum SIDH Ciphers
Revisiting Elliptic Curve Cryptography with Applications to Post-quantum SIDH Ciphers by Wesam Nabil Eid Master of Science Electrical and Computer Engineering University of New Haven 2013 A dissertation submitted to the Department of Computer Engineering and Sciences of Florida Institute of Technology in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering Melbourne, Florida May, 2020 ⃝c Copyright 2020 Wesam Nabil Eid All Rights Reserved The author grants permission to make single copies We the undersigned committee hereby recommend that the attached document be accepted as fulfilling in part the requirements for the degree of Ph.D. in Computer Engineering. \Revisiting Elliptic Curve Cryptography with Applications to Post-quantum SIDH Ciphers" a dissertation by Wesam Nabil Eid Marius C. Silaghi, Ph.D. Associate Professor, Department of Computer Engineering and Sciences Major Advisor Carlos Otero, Ph.D. Associate Professor, Department of Computer Engineering and Sciences Committee Member Susan Earles, Ph.D. Associate Professor, Department of Computer Engineering and Sciences Committee Member Eugene Dshalalow, Dr.rer.nat. Professor, Department of Mathematical Sciences Committee Member Philip Bernhard, Ph.D. Associate Professor and Department Head Department of Computer Engineering and Sciences ABSTRACT Revisiting Elliptic Curve Cryptography with Applications to Post-quantum SIDH Ciphers by Wesam Nabil Eid Thesis Advisor: Marius C. Silaghi, Ph.D. Elliptic Curve Cryptography (ECC) has positioned itself as one of the most promising candidates for various applications since its introduction by Miller and Kolbitz in 1985 [53, 44]. The core operation for ECC is the scalar multiplication [k]P where many efforts have addressed its computation speed. -
Nonintersecting Brownian Motions on the Unit Circle: Noncritical Cases
The Annals of Probability 2016, Vol. 44, No. 2, 1134–1211 DOI: 10.1214/14-AOP998 c Institute of Mathematical Statistics, 2016 NONINTERSECTING BROWNIAN MOTIONS ON THE UNIT CIRCLE By Karl Liechty and Dong Wang1 DePaul University and National University of Singapore We consider an ensemble of n nonintersecting Brownian particles on the unit circle with diffusion parameter n−1/2, which are condi- tioned to begin at the same point and to return to that point after time T , but otherwise not to intersect. There is a critical value of T which separates the subcritical case, in which it is vanishingly un- likely that the particles wrap around the circle, and the supercritical case, in which particles may wrap around the circle. In this paper, we show that in the subcritical and critical cases the probability that the total winding number is zero is almost surely 1 as n , and →∞ in the supercritical case that the distribution of the total winding number converges to the discrete normal distribution. We also give a streamlined approach to identifying the Pearcey and tacnode pro- cesses in scaling limits. The formula of the tacnode correlation kernel is new and involves a solution to a Lax system for the Painlev´e II equation of size 2 2. The proofs are based on the determinantal × structure of the ensemble, asymptotic results for the related system of discrete Gaussian orthogonal polynomials, and a formulation of the correlation kernel in terms of a double contour integral. 1. Introduction. The probability models of nonintersecting Brownian motions have been studied extensively in last decade; see Tracy and Widom (2004, 2006), Adler and van Moerbeke (2005), Adler, Orantin and van Moer- beke (2010), Delvaux, Kuijlaars and Zhang (2011), Johansson (2013), Ferrari and Vet˝o(2012), Katori and Tanemura (2007) and Schehr et al. -
Examples from Complex Geometry
Examples from Complex Geometry Sam Auyeung November 22, 2019 1 Complex Analysis Example 1.1. Two Heuristic \Proofs" of the Fundamental Theorem of Algebra: Let p(z) be a polynomial of degree n > 0; we can even assume it is a monomial. We also know that the number of zeros is at most n. We show that there are exactly n. 1. Proof 1: Recall that polynomials are entire functions and that Liouville's Theorem says that a bounded entire function is in fact constant. Suppose that p has no roots. Then 1=p is an entire function and it is bounded. Thus, it is constant which means p is a constant polynomial and has degree 0. This contradicts the fact that p has positive degree. Thus, p must have a root α1. We can then factor out (z − α1) from p(z) = (z − α1)q(z) where q(z) is an (n − 1)-degree polynomial. We may repeat the above process until we have a full factorization of p. 2. Proof 2: On the real line, an algorithm for finding a root of a continuous function is to look for when the function changes signs. How do we generalize this to C? Instead of having two directions, we have a whole S1 worth of directions. If we use colors to depict direction and brightness to depict magnitude, we can plot a graph of a continuous function f : C ! C. Near a zero, we'll see all colors represented. If we travel in a loop around any point, we can keep track of whether it passes through all the colors; around a zero, we'll pass through all the colors, possibly many times. -
A Review on Elliptic Curve Cryptography for Embedded Systems
International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, June 2011 A REVIEW ON ELLIPTIC CURVE CRYPTOGRAPHY FOR EMBEDDED SYSTEMS Rahat Afreen 1 and S.C. Mehrotra 2 1Tom Patrick Institute of Computer & I.T, Dr. Rafiq Zakaria Campus, Rauza Bagh, Aurangabad. (Maharashtra) INDIA [email protected] 2Department of C.S. & I.T., Dr. B.A.M. University, Aurangabad. (Maharashtra) INDIA [email protected] ABSTRACT Importance of Elliptic Curves in Cryptography was independently proposed by Neal Koblitz and Victor Miller in 1985.Since then, Elliptic curve cryptography or ECC has evolved as a vast field for public key cryptography (PKC) systems. In PKC system, we use separate keys to encode and decode the data. Since one of the keys is distributed publicly in PKC systems, the strength of security depends on large key size. The mathematical problems of prime factorization and discrete logarithm are previously used in PKC systems. ECC has proved to provide same level of security with relatively small key sizes. The research in the field of ECC is mostly focused on its implementation on application specific systems. Such systems have restricted resources like storage, processing speed and domain specific CPU architecture. KEYWORDS Elliptic curve cryptography Public Key Cryptography, embedded systems, Elliptic Curve Digital Signature Algorithm ( ECDSA), Elliptic Curve Diffie Hellman Key Exchange (ECDH) 1. INTRODUCTION The changing global scenario shows an elegant merging of computing and communication in such a way that computers with wired communication are being rapidly replaced to smaller handheld embedded computers using wireless communication in almost every field. This has increased data privacy and security requirements. -
Contents 5 Elliptic Curves in Cryptography
Cryptography (part 5): Elliptic Curves in Cryptography (by Evan Dummit, 2016, v. 1.00) Contents 5 Elliptic Curves in Cryptography 1 5.1 Elliptic Curves and the Addition Law . 1 5.1.1 Cubic Curves, Weierstrass Form, Singular and Nonsingular Curves . 1 5.1.2 The Addition Law . 3 5.1.3 Elliptic Curves Modulo p, Orders of Points . 7 5.2 Factorization with Elliptic Curves . 10 5.3 Elliptic Curve Cryptography . 14 5.3.1 Encoding Plaintexts on Elliptic Curves, Quadratic Residues . 14 5.3.2 Public-Key Encryption with Elliptic Curves . 17 5.3.3 Key Exchange and Digital Signatures with Elliptic Curves . 20 5 Elliptic Curves in Cryptography In this chapter, we will introduce elliptic curves and describe how they are used in cryptography. Elliptic curves have a long and interesting history and arise in a wide range of contexts in mathematics. The study of elliptic curves involves elements from most of the major disciplines of mathematics: algebra, geometry, analysis, number theory, topology, and even logic. Elliptic curves appear in the proofs of many deep results in mathematics: for example, they are a central ingredient in the proof of Fermat's Last Theorem, which states that there are no positive integer solutions to the equation xn + yn = zn for any integer n ≥ 3. Our goals are fairly modest in comparison, so we will begin by outlining the basic algebraic and geometric properties of elliptic curves and motivate the addition law. We will then study the behavior of elliptic curves modulo p: ultimately, there is a fairly strong analogy between the structure of the points on an elliptic curve modulo p and the integers modulo n. -
An Efficient Approach to Point-Counting on Elliptic Curves
mathematics Article An Efficient Approach to Point-Counting on Elliptic Curves from a Prominent Family over the Prime Field Fp Yuri Borissov * and Miroslav Markov Department of Mathematical Foundations of Informatics, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; [email protected] * Correspondence: [email protected] Abstract: Here, we elaborate an approach for determining the number of points on elliptic curves 2 3 from the family Ep = fEa : y = x + a (mod p), a 6= 0g, where p is a prime number >3. The essence of this approach consists in combining the well-known Hasse bound with an explicit formula for the quantities of interest-reduced modulo p. It allows to advance an efficient technique to compute the 2 six cardinalities associated with the family Ep, for p ≡ 1 (mod 3), whose complexity is O˜ (log p), thus improving the best-known algorithmic solution with almost an order of magnitude. Keywords: elliptic curve over Fp; Hasse bound; high-order residue modulo prime 1. Introduction The elliptic curves over finite fields play an important role in modern cryptography. We refer to [1] for an introduction concerning their cryptographic significance (see, as well, Citation: Borissov, Y.; Markov, M. An the pioneering works of V. Miller and N. Koblitz from 1980’s [2,3]). Briefly speaking, the Efficient Approach to Point-Counting advantage of the so-called elliptic curve cryptography (ECC) over the non-ECC is that it on Elliptic Curves from a Prominent requires smaller keys to provide the same level of security. Family over the Prime Field Fp. -
Lecture 9 Riemann Surfaces, Elliptic Functions Laplace Equation
Lecture 9 Riemann surfaces, elliptic functions Laplace equation Consider a Riemannian metric gµν in two dimensions. In two dimensions it is always possible to choose coordinates (x,y) to diagonalize it as ds2 = Ω(x,y)(dx2 + dy2). We can then combine them into a complex combination z = x+iy to write this as ds2 =Ωdzdz¯. It is actually a K¨ahler metric since the condition ∂[i,gj]k¯ = 0 is trivial if i, j = 1. Thus, an orientable Riemannian manifold in two dimensions is always K¨ahler. In the diagonalized form of the metric, the Laplace operator is of the form, −1 ∆=4Ω ∂z∂¯z¯. Thus, any solution to the Laplace equation ∆φ = 0 can be expressed as a sum of a holomorphic and an anti-holomorphid function. ∆φ = 0 φ = f(z)+ f¯(¯z). → In the following, we assume Ω = 1 so that the metric is ds2 = dzdz¯. It is not difficult to generalize our results for non-constant Ω. Now, we would like to prove the following formula, 1 ∂¯ = πδ(z), z − where δ(z) = δ(x)δ(y). Since 1/z is holomorphic except at z = 0, the left-hand side should vanish except at z = 0. On the other hand, by the Stokes theorem, the integral of the left-hand side on a disk of radius r gives, 1 i dz dxdy ∂¯ = = π. Zx2+y2≤r2 z 2 I|z|=r z − This proves the formula. Thus, the Green function G(z, w) obeying ∆zG(z, w) = 4πδ(z w), − should behave as G(z, w)= log z w 2 = log(z w) log(¯z w¯), − | − | − − − − near z = w. -
25 Modular Forms and L-Series
18.783 Elliptic Curves Spring 2015 Lecture #25 05/12/2015 25 Modular forms and L-series As we will show in the next lecture, Fermat's Last Theorem is a direct consequence of the following theorem [11, 12]. Theorem 25.1 (Taylor-Wiles). Every semistable elliptic curve E=Q is modular. In fact, as a result of subsequent work [3], we now have the stronger result, proving what was previously known as the modularity conjecture (or Taniyama-Shimura-Weil conjecture). Theorem 25.2 (Breuil-Conrad-Diamond-Taylor). Every elliptic curve E=Q is modular. Our goal in this lecture is to explain what it means for an elliptic curve over Q to be modular (we will also define the term semistable). This requires us to delve briefly into the theory of modular forms. Our goal in doing so is simply to understand the definitions and the terminology; we will omit all but the most straight-forward proofs. 25.1 Modular forms Definition 25.3. A holomorphic function f : H ! C is a weak modular form of weight k for a congruence subgroup Γ if f(γτ) = (cτ + d)kf(τ) a b for all γ = c d 2 Γ. The j-function j(τ) is a weak modular form of weight 0 for SL2(Z), and j(Nτ) is a weak modular form of weight 0 for Γ0(N). For an example of a weak modular form of positive weight, recall the Eisenstein series X0 1 X0 1 G (τ) := G ([1; τ]) := = ; k k !k (m + nτ)k !2[1,τ] m;n2Z 1 which, for k ≥ 3, is a weak modular form of weight k for SL2(Z). -
Lectures on the Combinatorial Structure of the Moduli Spaces of Riemann Surfaces
LECTURES ON THE COMBINATORIAL STRUCTURE OF THE MODULI SPACES OF RIEMANN SURFACES MOTOHICO MULASE Contents 1. Riemann Surfaces and Elliptic Functions 1 1.1. Basic Definitions 1 1.2. Elementary Examples 3 1.3. Weierstrass Elliptic Functions 10 1.4. Elliptic Functions and Elliptic Curves 13 1.5. Degeneration of the Weierstrass Elliptic Function 16 1.6. The Elliptic Modular Function 19 1.7. Compactification of the Moduli of Elliptic Curves 26 References 31 1. Riemann Surfaces and Elliptic Functions 1.1. Basic Definitions. Let us begin with defining Riemann surfaces and their moduli spaces. Definition 1.1 (Riemann surfaces). A Riemann surface is a paracompact Haus- S dorff topological space C with an open covering C = λ Uλ such that for each open set Uλ there is an open domain Vλ of the complex plane C and a homeomorphism (1.1) φλ : Vλ −→ Uλ −1 that satisfies that if Uλ ∩ Uµ 6= ∅, then the gluing map φµ ◦ φλ φ−1 (1.2) −1 φλ µ −1 Vλ ⊃ φλ (Uλ ∩ Uµ) −−−−→ Uλ ∩ Uµ −−−−→ φµ (Uλ ∩ Uµ) ⊂ Vµ is a biholomorphic function. Remark. (1) A topological space X is paracompact if for every open covering S S X = λ Uλ, there is a locally finite open cover X = i Vi such that Vi ⊂ Uλ for some λ. Locally finite means that for every x ∈ X, there are only finitely many Vi’s that contain x. X is said to be Hausdorff if for every pair of distinct points x, y of X, there are open neighborhoods Wx 3 x and Wy 3 y such that Wx ∩ Wy = ∅. -
Elliptic Curve Cryptography and Digital Rights Management
Lecture 14: Elliptic Curve Cryptography and Digital Rights Management Lecture Notes on “Computer and Network Security” by Avi Kak ([email protected]) March 9, 2021 5:19pm ©2021 Avinash Kak, Purdue University Goals: • Introduction to elliptic curves • A group structure imposed on the points on an elliptic curve • Geometric and algebraic interpretations of the group operator • Elliptic curves on prime finite fields • Perl and Python implementations for elliptic curves on prime finite fields • Elliptic curves on Galois fields • Elliptic curve cryptography (EC Diffie-Hellman, EC Digital Signature Algorithm) • Security of Elliptic Curve Cryptography • ECC for Digital Rights Management (DRM) CONTENTS Section Title Page 14.1 Why Elliptic Curve Cryptography 3 14.2 The Main Idea of ECC — In a Nutshell 9 14.3 What are Elliptic Curves? 13 14.4 A Group Operator Defined for Points on an Elliptic 18 Curve 14.5 The Characteristic of the Underlying Field and the 25 Singular Elliptic Curves 14.6 An Algebraic Expression for Adding Two Points on 29 an Elliptic Curve 14.7 An Algebraic Expression for Calculating 2P from 33 P 14.8 Elliptic Curves Over Zp for Prime p 36 14.8.1 Perl and Python Implementations of Elliptic 39 Curves Over Finite Fields 14.9 Elliptic Curves Over Galois Fields GF (2n) 52 14.10 Is b =0 a Sufficient Condition for the Elliptic 62 Curve6 y2 + xy = x3 + ax2 + b to Not be Singular 14.11 Elliptic Curves Cryptography — The Basic Idea 65 14.12 Elliptic Curve Diffie-Hellman Secret Key 67 Exchange 14.13 Elliptic Curve Digital Signature Algorithm (ECDSA) 71 14.14 Security of ECC 75 14.15 ECC for Digital Rights Management 77 14.16 Homework Problems 82 2 Computer and Network Security by Avi Kak Lecture 14 Back to TOC 14.1 WHY ELLIPTIC CURVE CRYPTOGRAPHY? • As you saw in Section 12.12 of Lecture 12, the computational overhead of the RSA-based approach to public-key cryptography increases with the size of the keys. -
Applications of Elliptic Functions in Classical and Algebraic Geometry
APPLICATIONS OF ELLIPTIC FUNCTIONS IN CLASSICAL AND ALGEBRAIC GEOMETRY Jamie Snape Collingwood College, University of Durham Dissertation submitted for the degree of Master of Mathematics at the University of Durham It strikes me that mathematical writing is similar to using a language. To be understood you have to follow some grammatical rules. However, in our case, nobody has taken the trouble of writing down the grammar; we get it as a baby does from parents, by imitation of others. Some mathe- maticians have a good ear; some not... That’s life. JEAN-PIERRE SERRE Jean-Pierre Serre (1926–). Quote taken from Serre (1991). i Contents I Background 1 1 Elliptic Functions 2 1.1 Motivation ............................... 2 1.2 Definition of an elliptic function ................... 2 1.3 Properties of an elliptic function ................... 3 2 Jacobi Elliptic Functions 6 2.1 Motivation ............................... 6 2.2 Definitions of the Jacobi elliptic functions .............. 7 2.3 Properties of the Jacobi elliptic functions ............... 8 2.4 The addition formulæ for the Jacobi elliptic functions . 10 2.5 The constants K and K 0 ........................ 11 2.6 Periodicity of the Jacobi elliptic functions . 11 2.7 Poles and zeroes of the Jacobi elliptic functions . 13 2.8 The theta functions .......................... 13 3 Weierstrass Elliptic Functions 16 3.1 Motivation ............................... 16 3.2 Definition of the Weierstrass elliptic function . 17 3.3 Periodicity and other properties of the Weierstrass elliptic function . 18 3.4 A differential equation satisfied by the Weierstrass elliptic function . 20 3.5 The addition formula for the Weierstrass elliptic function . 21 3.6 The constants e1, e2 and e3 ..................... -
Elliptic Curves, Modular Forms, and L-Functions Allison F
Claremont Colleges Scholarship @ Claremont HMC Senior Theses HMC Student Scholarship 2014 There and Back Again: Elliptic Curves, Modular Forms, and L-Functions Allison F. Arnold-Roksandich Harvey Mudd College Recommended Citation Arnold-Roksandich, Allison F., "There and Back Again: Elliptic Curves, Modular Forms, and L-Functions" (2014). HMC Senior Theses. 61. https://scholarship.claremont.edu/hmc_theses/61 This Open Access Senior Thesis is brought to you for free and open access by the HMC Student Scholarship at Scholarship @ Claremont. It has been accepted for inclusion in HMC Senior Theses by an authorized administrator of Scholarship @ Claremont. For more information, please contact [email protected]. There and Back Again: Elliptic Curves, Modular Forms, and L-Functions Allison Arnold-Roksandich Christopher Towse, Advisor Michael E. Orrison, Reader Department of Mathematics May, 2014 Copyright c 2014 Allison Arnold-Roksandich. The author grants Harvey Mudd College and the Claremont Colleges Library the nonexclusive right to make this work available for noncommercial, educational purposes, provided that this copyright statement appears on the reproduced ma- terials and notice is given that the copying is by permission of the author. To dis- seminate otherwise or to republish requires written permission from the author. Abstract L-functions form a connection between elliptic curves and modular forms. The goals of this thesis will be to discuss this connection, and to see similar connections for arithmetic functions. Contents Abstract iii Acknowledgments xi Introduction 1 1 Elliptic Curves 3 1.1 The Operation . .4 1.2 Counting Points . .5 1.3 The p-Defect . .8 2 Dirichlet Series 11 2.1 Euler Products .