Exploring the Diffie-Hellman Key Exchange, Discrete Logarithm Problem, and the Significance of Cyclic Groups in Cryptography

WOMANIUM GLOBAL ONLINE QUANTUM MEDIA PROJECT #Quantum30 Challenge Day 10

Murshed SK
4 min readAug 10, 2023

Introduction:

In the realm of modern cryptography, secure communication is a paramount concern. The Diffie-Hellman Key Exchange algorithm, along with the underlying Discrete Logarithm Problem, has reshaped the landscape of cryptographic protocols. This article delves into the mechanics of the Diffie-Hellman Key Exchange, the challenges posed by the Discrete Logarithm Problem, and the pivotal role of cyclic groups in cryptography.

Diffie-Hellman Key Exchange: Concept and Execution

The Diffie-Hellman Key Exchange algorithm, a cornerstone of public-key cryptography, enables two parties to securely exchange cryptographic keys over an untrusted channel. Let’s illustrate this process with an example:

  • Setup: Alice and Bob agree on a large prime number ‘p’ and a primitive root ‘g’ modulo ‘p,’ both of which are public.
  • Key Generation:
    — Alice selects a private key ‘a’ and computes her public key ‘A’ using the formula: A = g^a mod p.
    — Similarly, Bob chooses a private key ‘b’, and computes his public key ‘B’ using: B = g^b mod p.
  • Exchange:
    — Alice and Bob share their public keys ‘A’ and ‘B’ over the insecure channel.
  • Shared Key Calculation:
    — Alice computes the shared secret key ‘s’ using: s = B^a mod p.
    — Bob computes ‘s’ using: s = A^b mod p.
  • Secure Communication:
    — Now, Alice and Bob both possess the same shared key ‘s,’ which they can use for encryption and decryption.
Image Source: https://www.youtube.com/watch?v=eslSF7GrbSw

Role of AES in Data Encryption:

While Diffie-Hellman establishes a secure shared key, it is typically used for key exchange, not data encryption. The Advanced Encryption Standard (AES) is commonly employed for data encryption due to its robust security and efficiency. AES employs a symmetric encryption scheme, using the shared key established through Diffie-Hellman for data protection. This ensures that the actual exchanged information remains confidential and safeguarded from unauthorized access.

Proof of Key Generation Correctness:

The Diffie-Hellman Key Exchange’s correctness can be demonstrated through the shared key calculation process. Since both Alice and Bob independently compute the shared secret key ‘s’ using different equations, their calculations will yield the same result. This establishes a secure communication channel, allowing them to exchange information confidentially.

Cyclic Groups and Their Significance:

A group in mathematics is a set of elements combined with an operation that satisfies certain properties. One crucial property is the existence of an inverse element for each element. However, in the context of modular arithmetic, an inverse only exists in Z₉ for elements ‘a’ where gcd(a, 9) = 1. This is known as Euler’s Totient Theorem.

Cyclic groups are a special type of group where elements are generated by repeatedly applying the group operation to a single element, known as a generator or primitive element. Cyclic groups are characterized by their repetitive patterns, making them a fundamental concept in cryptography.

Order and Formation of Cyclic Groups:

The order of a group refers to the number of elements it contains. A cyclic group’s order is the smallest positive integer ‘n’ such that the generator raised to the power of ‘n’ results in the identity element. For example, in the cyclic group of integers modulo 11 (Z₁₁*), the order is 10.

Let’s consider an example of forming a cyclic group step by step:

  1. Start with a prime number ‘p’, e.g., p = 7.
    2. Identify elements that are coprime to ‘p’, forming the set Z₇*: {1, 2, 3, 4, 5, 6}.
    3. Select a primitive element, e.g., ‘3’.
    4. Calculate powers of ‘3’ modulo ‘7’: {3¹ mod 7 = 3, 3² mod 7 = 2, 3³ mod 7 = 6, …}.
    5. Repeat the process until all elements or elements of the group are generated, forming a cyclic group.

Cryptography and Cyclic Groups:

Cyclic groups are vital to cryptography due to the Discrete Logarithm Problem. This problem involves finding the exponent (‘a’) when given ‘g’ and ‘g^a mod p’. Solving this problem is computationally challenging, forming the basis for many cryptographic schemes.

Properties and Examples of Cyclic Groups​:

Cyclic groups possess important properties, including closure, associativity, identity element, and inverses. In the context of Z ₁₁*, elements like 2, 6, 7, and 8 are generators. The order of elements in Z ₁₁* varies, with the number of generators being related to the prime factorization of ‘p-1’.

Conclusion:

The Diffie-Hellman Key Exchange and the Discrete Logarithm Problem have transformed cryptography, enabling secure communication even over untrusted channels. These concepts are intricately linked to the world of cyclic groups, where generators, orders, and properties play a fundamental role. As we navigate the complexities of modern communication, the significance of these concepts in ensuring confidentiality and integrity cannot be overstated.

This article is written based on the below video lecture.

The video is provided by QuantumComputingIndia, as a part of the #Quantum30 learning challenge.

I have been exploring Cryptography since the start of this month and throughout this month I will gain in-depth knowledge of this field. Your suggestion will be really helpful for my future endeavor.

This is a part of WOMANIUM GLOBAL ONLINE QUANTUM MEDIA PROJECT. This project will help me to dive into the cryptographic world(From Classical to Quantum Approach). From onwards I shall share my learning log with others who are curious about this particular and promising field.

I want to take a moment to express my gratitude to Marlou Slot and Dr. Manjula Gandhi for this initiative and encouragement and sincere thanks to Moses Sam Paul Johnraj for providing the 30-day schedule.

#Quantum30 #QuantumComputing #QuantumJourney #QuantumEnthusiast #Womanium #Cryptography #QuantumCryptography #QuantumComputingIndia

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Murshed SK

Physics Undergrad | Quantum Information Science and Computation Enthusiast | Passionate about Quantum Machine Learning | <Womanium | Quantum> Scholar