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Part 3: Mathematical Foundations of Cryptography

Objective: Explore the underlying mathematical principles that form the basis of cryptographic algorithms.

Introduction to Mathematical Foundations

  • Purpose: Understanding the mathematics behind cryptography provides insight into how and why cryptographic methods are secure.
  • Key Areas: Focus on number theory and algebra, which are crucial in understanding the algorithms used in cryptography.

Key Concepts and Theories

  1. Modular Arithmetic:
    • Fundamental to many cryptographic algorithms.
    • Involves arithmetic with a wrap-around feature at a certain value, known as the modulus.
  2. Prime Numbers and Factoring:
    • The difficulty of factoring large prime numbers forms the basis of algorithms like RSA.
    • Prime numbers are used because their properties make the factoring problem hard.
  3. Elliptic Curves:
    • Used in algorithms like ECC (Elliptic Curve Cryptography).
    • Involves points on a curve and the mathematics of their relationships.
  4. Discrete Logarithms:
    • The discrete logarithm problem is a hard problem used in cryptographic algorithms, including Diffie-Hellman and some forms of ECC.

Hands-on Exercise: Exploring Modular Arithmetic

  • Activity: Solve basic problems using modular arithmetic.
  • Objective: Gain practical experience with the concept of modulus as used in cryptography.

Practical Application

  • Algorithm Design: Understanding these concepts is essential for developing or analyzing cryptographic algorithms.
  • Security Analysis: Helps in assessing the strength and vulnerabilities of cryptographic systems.

Further Reading and Resources

  • “Introduction to Cryptography with Coding Theory” by Wade Trappe and Lawrence C. Washington.
  • Online courses and resources on number theory and algebra in cryptography.