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19. Discrete Logarithm Problem |
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In this lecture, we will explore the concept of primitive roots and the discrete logarithm problem. The discrete logarithm problem is a fundamental concept in cryptography and serves as the basis for many cryptographic algorithms.
We often discuss primitive roots in the context of the multiplicative group
Definition of multiplicative order: In the group
In simpler terms, the multiplicative order is the minimum number of times an element needs to be multiplied by itself to obtain the identity element of the group.
For example, in the multiplicative group
$4^1 \equiv 4 \mod 5$ $4^2 \equiv 1 \mod 5$
Now, let's move on to the concept of primitive roots.
Definition of primitive roots: In the multiplicative group $Z_n^$, an element $g$ is called a primitive root if all powers of $g$ can generate all elements in the group $Z_n^$.
In other words, for every
The concept of primitive roots is closely related to the generator of a cyclic group. While the multiplicative group modulo
For example, consider the multiplicative group
$3^1 \equiv 3 \mod 7$ $3^2 \equiv 2 \mod 7$ $3^3 \equiv 6 \mod 7$ $3^4 \equiv 4 \mod 7$ $3^5 \equiv 5 \mod 7$ $3^6 \equiv 1 \mod 7$
In this example, the powers of
Let's consider another example: the multiplicative group
$1^1 \equiv 1 \mod 8$ -
$3^1 \equiv 3 \mod 8$ ,$3^2 \equiv 1 \mod 8$ -
$5^1 \equiv 5 \mod 8$ ,$5^2 \equiv 1 \mod 8$ -
$7^1 \equiv 7 \mod 8$ ,$7^2 \equiv 1 \mod 8$ we can see that no power of any element can generate the entire group. Therefore,$Z_8^*$ does not have a primitive root and is not a cyclic group.
Property 1: Existence of primitive roots: A primitive root exists in
The proof of this property is complex and beyond the scope of this tutorial. It is sufficient to remember the conclusion.
Here are a few examples: $Z_5^$ has a primitive root, such as $2$; $Z_7^$ also has a primitive root, such as
Property 2: Number of primitive roots: When
Click to expand the proof👀
Assume that
Here are a few examples:
Property 3: Corollary of the number of primitive roots: When
Click to expand the proof👀
When
Property 4: Relationship between multiplicative order and Euler's totient function: For
Click to expand the proof👀
The order of
The discrete logarithm is usually discussed in the multiplicative group $Z^_n$ modulo $n$. When $n = 2, 4, p^k, 2p^k$, $Z^_n$ is a cyclic group and has a primitive root.
For the group
Property 1: Relationship between discrete logarithm and Euler's totient function: For the group
Click to expand the proof👀
Necessity
Let
Sufficiency
If
For example, in
This property can be used to simplify the calculation of modular exponentiation. For
The Discrete Logarithm Problem (DLP) involves finding the discrete logarithm
Forward calculation is easy: Given
Reverse calculation is difficult: Given
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Non-linearity: The multiplication operation in the group is usually non-linear, and finding the exponent that satisfies the condition often requires traversing the entire group.
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No efficient algorithm: When
$p$ is a large prime number, no algorithm has been discovered that can solve the problem in polynomial time. -
Large search space: The difficulty of the discrete logarithm problem also depends on the existence of primitive roots. When the modulus
$n$ has a primitive root, the discrete logarithm problem is usually difficult because the powers of the primitive root form a complete residue system modulo$n$ . Conversely, if there is no primitive root, the solution to the discrete logarithm problem may be easier to find.
Let's start with a simple example: for
$3^2 \equiv 4 \pmod{5}$ $3^3 \equiv 2 \pmod{5}$
Therefore, in
Here's a more challenging example: for
The discrete logarithm problem has widespread applications in cryptography, particularly in public key cryptography. Here are some examples:
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RSA encryption algorithm: We introduced the RSA algorithm in a previous course on number theory. It is an asymmetric encryption algorithm based on the difficulty of factoring large integers and the discrete logarithm problem.
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Diffie-Hellman key exchange: The Diffie-Hellman key exchange protocol is a method of securely negotiating keys over an insecure channel. It is based on the discrete logarithm problem. In this protocol, two parties choose a large prime number and a generator, each selects a private key, and calculates the public key through the discrete logarithm operation on the generator. Finally, they can compute a shared secret key. The difficulty of the discrete logarithm problem ensures that even if an attacker intercepts the public information, it is difficult to deduce the private key.
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ElGamal encryption algorithm: The ElGamal encryption algorithm is a public key encryption algorithm based on the discrete logarithm problem. In ElGamal encryption, the encryptor chooses a generator and a private key, and generates the public key through the discrete logarithm operation on the generator. The decryptor uses their private key to decrypt. The difficulty of the discrete logarithm problem ensures the security of the algorithm.
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Elliptic curve cryptography: Elliptic curve cryptography utilizes points on an elliptic curve for encryption and digital signatures. The elliptic curve discrete logarithm problem (ECDLP) is the challenging problem of finding points on an elliptic curve. Elliptic curve cryptography provides more efficient encryption algorithms compared to traditional RSA, while maintaining the same or higher level of security.
In this lecture, we introduced the concept of primitive roots and the discrete logarithm problem. Primitive roots play a significant role in number theory, while the discrete logarithm problem is a challenging problem in cryptography that guarantees the security of many encryption algorithms.
With this, we conclude the content of the group theory section in the WTF zk tutorial. Next, we will delve into ring theory and field theory!