Computational Number Theory and Modern

The only book to provide a unified view of the interplay between computational number theory and cryptography Computational number theory and modern cryptography are two of the most important and fundamental research fields in information security. There are many textbooks on computational number theory or cryptography. However, textbooks integrating both topics are rare. This book not only introduces the basic concepts and results in the two fields, but also introduces many advanced topics. Mathematical ideas are presented first, thereupon treating cryptography as an immediate application of the mathematical ideas. The author covers topics from number theory which are relevant for applications in public-key cryptography. The most popular public-key cryptosystems are based on difficult computational problems, such as factorization of large positive integers and the discrete logarithm problem in finite fields or on elliptic curves over finite fields. The book also covers modern topics, such as coding and lattice based cryptography, which are relevant for so-called post-quantum cryptography. The author goes over the basics in the first six chapters, followed by application to the most common cryptographic algorithms in the following three chapters. Finally areas of current research are touched in the last three chapters. Serious mathematical problems behind these applications will be explained at the level accessible to computer scientists and engineers. Makes deep mathematical problems accessible to computer scientists and engineers Based on classroom tested materials used in the US, UK and China Exercises included in every chapter Instructor resources available on the book's Companion Website

Song Y. Yan, Massachusetts Institute of Technology, USA
Song Y. Yan is a Professor in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and Harvard University. Song is a computer scientist as well as a mathematician whose primary research interests are in the intersection of Mathematics/Number Theory and Computer Science/Information Technology, including areas such as Complexity Theory, Design and Analysis of Algorithms, Cryptography, and Information Security. He is a well-known author in the area, having published 5 books. He obtained a Doctorate in Mathematics (Number Theory) from the Department of Mathematics at the University of York, and majored in both computer science and mathematics.

About the Author ix

Preface xi

Acknowledgments xiii

Part I Preliminaries

1 Introduction 3

1.1 What is Number Theory? 3

1.2 What is Computation Theory? 9

1.3 What is Computational Number Theory? 15

1.4 What is Modern Cryptography? 29

1.5 Bibliographic Notes and Further Reading 32

References 32

2 Fundamentals 35

2.1 Basic Algebraic Structures 35

2.2 Divisibility Theory 46

2.3 Arithmetic Functions 75

2.4 Congruence Theory 89

2.5 Primitive Roots 131

2.6 Elliptic Curves 141

2.7 Bibliographic Notes and Further Reading 154

References 155

Part II Computational Number Theory

3 Primality Testing 159

3.1 Basic Tests 159

3.2 Miller–Rabin Test 168

3.3 Elliptic Curve Tests 173

3.4 AKS Test 178

3.5 Bibliographic Notes and Further Reading 187

References 188

4 Integer Factorization 191

4.1 Basic Concepts 191

4.2 Trial Divisions Factoring 194

4.3 ρ and p − 1 Methods 198

4.4 Elliptic Curve Method 205

4.5 Continued Fraction Method 209

4.6 Quadratic Sieve 214

4.7 Number Field Sieve 219

4.8 Bibliographic Notes and Further Reading 231

References 232

5 Discrete Logarithms 235

5.1 Basic Concepts 235

5.2 Baby-Step Giant-Step Method 237

5.3 Pohlig–Hellman Method 240

5.4 Index Calculus 246

5.5 Elliptic Curve Discrete Logarithms 251

5.6 Bibliographic Notes and Further Reading 260

References 261

Part III Modern Cryptography

6 Secret-Key Cryptography 265

6.1 Cryptography and Cryptanalysis 265

6.2 Classic Secret-Key Cryptography 277

6.3 Modern Secret-Key Cryptography 285

6.4 Bibliographic Notes and Further Reading 291

References 291

7 Integer Factorization Based Cryptography 293

7.1 RSA Cryptography 293

7.2 Cryptanalysis of RSA 302

7.3 Rabin Cryptography 319

7.4 Residuosity Based Cryptography 326

7.5 Zero-Knowledge Proof 331

7.6 Bibliographic Notes and Further Reading 335

References 335

8 Discrete Logarithm Based Cryptography 337

8.1 Diffie–Hellman–Merkle Key-Exchange Protocol 337

8.2 ElGamal Cryptography 342

8.3 Massey–Omura Cryptography 344

8.4 DLP-Based Digital Signatures 348

8.5 Bibliographic Notes and Further Reading 351

References 351

9 Elliptic Curve Discrete Logarithm Based Cryptography 353

9.1 Basic Ideas 353

9.2 Elliptic Curve Diffie–Hellman–Merkle Key Exchange Scheme 356

9.3 Elliptic Curve Massey–Omura Cryptography 360

9.4 Elliptic Curve ElGamal Cryptography 365

9.5 Elliptic Curve RSA Cryptosystem 370

9.6 Menezes–Vanstone Elliptic Curve Cryptography 371

9.7 Elliptic Curve DSA 373

9.8 Bibliographic Notes and Further Reading 374

References 375

Part IV Quantum Resistant Cryptography

10 Quantum Computational Number Theory 379

10.1 Quantum Algorithms for Order Finding 379

10.2 Quantum Algorithms for Integer Factorization 385

10.3 Quantum Algorithms for Discrete Logarithms 390

10.4 Quantum Algorithms for Elliptic Curve Discrete Logarithms 393

10.5 Bibliographic Notes and Further Reading 397

References 397

11 Quantum Resistant Cryptography 401

11.1 Coding-Based Cryptography 401

11.2 Lattice-Based Cryptography 403

11.3 Quantum Cryptography 404

11.4 DNA Biological Cryptography 406

11.5 Bibliographic Notes and Further Reading 409

References 410

Index 413

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Computational Number Theory and Modern Cryptography

Summary

Author Biography

Table of Contents

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