Developed from the author’s popular graduate-level course, Computational Number Theory presents a complete treatment of number-theoretic algorithms. Avoiding advanced algebra, this self-contained text is designed for advanced undergraduate and beginning graduate students in engineering. It is also suitable for researchers new to the field and practitioners of cryptography in industry.
Requiring no prior experience with number theory or sophisticated algebraic tools, the book covers many computational aspects of number theory and highlights important and interesting engineering applications. It first builds the foundation of computational number theory by covering the arithmetic of integers and polynomials at a very basic level. It then discusses elliptic curves, primality testing, algorithms for integer factorization, computing discrete logarithms, and methods for sparse linear systems. The text also shows how number-theoretic tools are used in cryptography and cryptanalysis. A dedicated chapter on the application of number theory in public-key cryptography incorporates recent developments in pairing-based cryptography.
With an emphasis on implementation issues, the book uses the freely available number-theory calculator GP/PARI to demonstrate complex arithmetic computations. The text includes numerous examples and exercises throughout and omits lengthy proofs, making the material accessible to students and practitioners.
Table of Contents
Arithmetic of Integers
Basic Arithmetic Operations
Congruences and Modular Arithmetic
Prime Number Theorem and Riemann Hypothesis
Running Times of Arithmetic Algorithms
Arithmetic of Finite Fields
Existence and Uniqueness of Finite Fields
Representation of Finite Fields
Implementation of Finite Field Arithmetic
Some Properties of Finite Fields
Alternative Representations of Finite Fields
Computing Isomorphisms among Representations
Arithmetic of Polynomials
Polynomials over Finite Fields
Finding Roots of Polynomials over Finite Fields
Factoring Polynomials over Finite Fields
Properties of Polynomials with Integer Coefficients
Factoring Polynomials with Integer Coefficients
Arithmetic of Elliptic Curves
What Is an Elliptic Curve?
Elliptic Curves over Finite Fields
Some Theory of Algebraic Curves
Pairing on Elliptic Curves
Elliptic-Curve Point Counting
Introduction to Primality Testing
Probabilistic Primality Testing
Deterministic Primality Testing
Primality Tests for Numbers of Special Forms
Pollard’s Rho Method
Pollard’s p - 1 Method
Quadratic Sieve Method
Cubic Sieve Method
Elliptic Curve Method
Number-Field Sieve Method
Algorithms for Prime Fields
Algorithms for Fields of Characteristic Two
Algorithms for General Extension Fields
Algorithms for Elliptic Curves (ECDLP)
Large Sparse Linear Systems
Structured Gaussian Elimination
Appendix A: Background
Appendix B: Solutions to Selected Exercises
Abhijit Das is an associate professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. His research interests are in the areas of arithmetic and algebraic computations with specific applications to cryptology.
"This book would be a good choice for cryptography and engineering students wanting to learn the basics of algorithmic number theory."
—Mathematical Reviews, November 2014