Fractal Hashing

Features Benefits
Hash Image Isolation Breaks reverse determinism
Dynamic Key-space Key-space expands to match image
Iterative Geometric Navigation Unpredictable Fractal Hash Streams
Hashing Silos Silo Compartmentalization
Quantum Proof Impossible to reverse

A Quantum Proof replacement for SHA hashing

Introduction to Fractal Hashing

Fractal Hashing represents a fundamental evolution in secure hashing, built on the principles of fractal transformation and infinite complexity. Unlike traditional hashing methods, which rely on deterministic mathematical functions, Fractal Hashing generates dynamic, non-repeating, and unpredictable hash values, ensuring absolute security against both classical and quantum attacks.

At its core, Fractal Hashing leverages multi-dimensional fractal navigation to create unique, non-reversible hashes, making it impossible to derive the original input or reconstruct the transformation process. This approach eliminates hash collisions, resists brute-force attempts, and ensures that even the slightest change in input results in an entirely new and unpredictable hash.

Designed for post-quantum security, Fractal Hashing is not an adaptation of classical cryptographic models—it is a new standard that ensures data integrity and authentication remain impenetrable in the quantum era. Whether used for blockchains, digital signatures, integrity verification, or secure authentication, Fractal Hashing delivers an unmatched level of security, ensuring that what is hashed stays hashed—forever.

How Fractal Hashing Works:

Fractal Hashing implements the core FES technology to generate hashes.

Fractal Hashing Hashes are generated as follows:

  1. Instead of using deterministic bitwise key transformations, the entire input dynamically alters a fractal transformation trajectory.
  2. The image/input identifies a multi-dimensional fractal portal with a key-space that matches the size of the input.
  3. Once the fractal portal is identified, the image/input is discarded, it is not used to generate the fractal hash.
  4. The Fractal Transformation then proceeds independently to generate a Fractal Stream of any desired length.
  5. The Fractal Stream transforms a fixed byte string to generate a Fractal Hash.

Quantum-Proof Hashing:

Fractal Hashing is a Quantum Proof and impenetrable replacement for SHA.

Fractal Hashing is Quantum-Impenetrable:

  • The Image/Input is isolated from the hash generation process.
  • Hashing key-space size matches that of the image/input.
  • Unlimited configurable hash size.
  • Irreversibility of the hash.
  • Infinite complexity of the hash.

Impenetrability is proven logically and mathematically. It derives from the hybrid implementation of the Mandelbrot Fractal, Multi-Dimensional Mandelbrot Portal and Fractal Stream Navigation.

Quantum Threat to SHA (Secure Hashing Algorithms)

Quantum computing poses significant challenges to current cryptographic hash functions, such as SHA-256, which are foundational to many security systems, including blockchain technologies.

While these hash functions are designed to be secure against classical attacks, quantum algorithms introduce new vulnerabilities.

Quantum Vulnerabilities of Hash Functions:

  1. Flatow SHA Algorithm: The Flatow SHA Algorithm (FA-SHA) demonstrates the capability of quantum computers to crack SHA (Secure Hash Algorithm) by leveraging Amplitude Encoding (AE) with quantum parallelism. This proof of concept utilizes quantum circuits to explore the entire image and hash space in parallel, vastly speeding up the reversal exploration process.
    Flatow-Algorithm-SHA.pdf
  2. Grover's Algorithm: This quantum algorithm can accelerate the process of finding preimages and collisions in hash functions. For an n-bit hash function, Grover's algorithm can reduce the complexity of a brute-force attack from 2^n to 2^(n/2) operations, effectively halving the bit strength of the hash. For instance, SHA-256, which offers 128-bit security against classical attacks, would provide only 64-bit security against quantum attacks.
    learning.quantum.ibm.com
  3. Collision Resistance: Quantum computers can find hash collisions more efficiently, potentially undermining the integrity guarantees provided by hash functions. This vulnerability could be exploited in various security protocols that rely on the uniqueness of hash outputs.
    rd.ntt

Impacted Systems:

  1. Blockchain Technologies: Blockchains, like Bitcoin, rely heavily on hash functions for mining and transaction integrity. Quantum attacks could enable adversaries to find collisions or preimages, allowing them to alter transaction histories or create fraudulent transactions. This threat is particularly concerning for proof-of-work mechanisms that depend on the computational hardness of hash functions.
    opsdesign.com
  2. Digital Signatures: Many digital signature schemes use hash functions to generate message digests. Quantum vulnerabilities in these hash functions could allow attackers to forge signatures or find different messages with the same hash, leading to potential security breaches in authentication systems.
    uscybersecurity.net
  3. Password Hashing Systems: Systems that store hashed passwords could be at risk, as quantum attacks might more efficiently reverse these hashes, leading to unauthorized access. While salts and key stretching techniques add layers of security, the fundamental vulnerability of the hash function remains a concern in the quantum context.
Copyright © 2025
All Rights Reserved
Contact:
[email protected]
scroll to top of page