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Muhammed Shafin P
Muhammed Shafin P

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Metaclass Polymorphic Crypto: Enhanced Proof of Concept

#hejhdiss #python3 #cryptography

By Muhammed Shafin P

January 2026

Related Article: A Metaclass Architecture for Encryption: Keys as Algorithm Generators

Introduction

This article presents an enhanced proof-of-concept implementation of the Metaclass Encryption Architecture. Unlike my earlier PoC which used brute-force decryption methods and processed data at the ASCII character level, this implementation demonstrates the full metaclass concept with:

  • DNA-driven parameter generation
  • Multiple mapping universe selection
  • Variable bit-granularity processing
  • Integrity verification through noise injection
  • Key-selected hash engine (BLAKE2b/SHA256)

Understanding Proof-of-Concepts

Important: PoCs are not meant to represent real-world implementations. They exist to demonstrate that a concept can work in principle. This PoC may not show how the full concept would perform in actual deployment - that's intentional. PoCs prove functionality, not optimization.

As I've stated from the beginning, this is theoretical work. This is my own design, and I experiment and learn through building these implementations. This PoC is the result I've achieved - just to show that the metaclass architecture concept is implementable.

The Enhanced PoC Output

Running the enhanced metaclass PoC with key ahjgdjhasd and message adjkhadjks:

############################################################
AUTHOR: Muhammed Shafin P (@hejhdiss)
PROJECT: Metaclass Polymorphic Crypto PoC
############################################################
!! WARNING: THIS IS A PURELY BASIC PROOF-OF-CONCEPT (PoC) !!
- This implementation is NOT optimized for speed.
- It is heavy on system resources (CPU/RAM).
- This is NOT a real-world production-ready version.
- Purpose: To demonstrate the functionality of Metaclass Architecture.
############################################################

Enter Secret Key: ahjgdjhasd
Enter Message: adjkhadjks

============================================================
SESSION DNA & METACLASS GENERATION DETAILS
============================================================
Master DNA (Hex Prefix): 185523580b393686...
Primary Engine:          BLAKE2B
Mapping Universe:        XOR-Prime Hybrid
Data Granularity:        4-bit slices
Injected Noise:          4-bit per block
Dynamic Modulus (M):     1000651992543896
Dynamic Exponent (E):    13
------------------------------------------------------------
Encrypting... (Resource Intensive Process)

[FULL ENCRYPTED DATA - HEXADECIMAL]
38DBD531B19ED:B 4D65BBE98C35:F 38DBD531B19ED:4 2E1E3BB3D6899:7 
38DBD531B19ED:A 33B0065CDC26B:4 38DBD531B19ED:0 33B7B52576495:A 
38DBD531B19ED:2 1A546D4D8D3CB:D 38DBD531B19ED:8 4D65BBE98C35:7 
38DBD531B19ED:9 2E1E3BB3D6899:C 38DBD531B19ED:4 33B0065CDC26B:F 
38DBD531B19ED:7 33B7B52576495:2 8F553D85C243:F 58849C5F9867:8

[FULL ENCRYPTED DATA - BINARY]
B0: DATA(11100011011011110101010011000110110001100111101101) NOISE(1011)
B1: DATA(10011010110010110111011111010011000110000110101) NOISE(1111)
B2: DATA(11100011011011110101010011000110110001100111101101) NOISE(0100)
B3: DATA(10111000011110001110111011001111010110100010011001) NOISE(0111)
B4: DATA(11100011011011110101010011000110110001100111101101) NOISE(1010)
B5: DATA(11001110110000000001100101110011011100001001101011) NOISE(0100)
B6: DATA(11100011011011110101010011000110110001100111101101) NOISE(0000)
B7: DATA(11001110110111101101010010010101110110010010010101) NOISE(1010)
B8: DATA(11100011011011110101010011000110110001100111101101) NOISE(0010)
B9: DATA(1101001010100011011010100110110001101001111001011) NOISE(1101)
B10: DATA(11100011011011110101010011000110110001100111101101) NOISE(1000)
B11: DATA(10011010110010110111011111010011000110000110101) NOISE(0111)
B12: DATA(11100011011011110101010011000110110001100111101101) NOISE(1001)
B13: DATA(10111000011110001110111011001111010110100010011001) NOISE(1100)
B14: DATA(11100011011011110101010011000110110001100111101101) NOISE(0100)
B15: DATA(11001110110000000001100101110011011100001001101011) NOISE(1111)
B16: DATA(11100011011011110101010011000110110001100111101101) NOISE(0111)
B17: DATA(11001110110111101101010010010101110110010010010101) NOISE(0010)
B18: DATA(100011110101010100111101100001011100001001000011) NOISE(1111)
B19: DATA(10110001000010010011100010111111001100001100111) NOISE(1000)

------------------------------------------------------------
Decrypting... (Verifying Integrity)
DECRYPTED RESULT: adjkhadjks
============================================================
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What This PoC Demonstrates

1. DNA-Driven Architecture

The key generates a "DNA" - a master hash that determines all subsequent encryption parameters:

  • Hash Engine Selection: Key characteristics determine whether BLAKE2b or SHA256 is used
  • Master DNA: The selected hash generates a unique DNA hex string
  • All Parameters Derive from DNA: Modulus, exponent, mapping logic, bit granularity, and noise depth all come from this DNA

This proves that a single key can generate an entire encryption "universe" with unique mathematical laws.

2. Dynamic Mapping Universe Selection

The PoC implements three different mapping strategies, selected by the DNA:

Pure-Prime: Direct prime number mapping based on position

XOR-Prime Hybrid: Prime mapping with XOR operations from DNA bits

DNA-Offset Stream: BLAKE2b-generated pseudo-random mappings

The output shows this key selected XOR-Prime Hybrid - proving the system can dynamically choose different mathematical approaches.

3. Variable Bit Granularity

Instead of processing at fixed 8-bit (byte) boundaries, the system processes data in 4, 6, 8, or 12-bit slices as determined by the DNA. This PoC used 4-bit slices, showing the flexibility of the architecture.

4. Integrity Verification Through Noise

Each encrypted block includes deterministic noise bits (4-16 bits) derived from the DNA and block position. During decryption, if the noise doesn't match, the system returns INTEGRITY_ERR. This proves built-in tamper detection without separate authentication tags.

5. Full Diffusion

Notice how similar input values produce completely different encrypted outputs:

  • The repeated character patterns in "adjkhadjks"
  • Produce varied ciphertext blocks
  • Each with different noise patterns
  • Creating strong avalanche effect

Important Disclaimer

This PoC does not claim the system is unbreakable. This is purely a proof-of-concept showing that the metaclass architecture concept is implementable and functional. It demonstrates the theory can translate to working code - nothing more.

Key Architectural Elements Proven

✓ Keys Generate Algorithms

The same key will always generate the same "encryption universe," but different keys create fundamentally different algorithms.

✓ DNA-Driven Parameters

All encryption parameters derive deterministically from a master DNA hash, proving unified key-driven architecture.

✓ Multiple Mapping Strategies

Three different mathematical approaches can be selected, proving the meta-framework can encompass various encryption methodologies.

✓ Variable Data Processing

Bit granularity changes per key, proving flexible data handling at multiple resolutions.

✓ Integrity Without Overhead

Noise injection provides tamper detection without separate authentication passes.

Repository and Code

GitHub: github.com/hejhdiss/custom-encryption-poc

The enhanced PoC is available as m.py in the repository. You can run it yourself:

python m.py
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Enter any key and message to see the metaclass architecture in action.

Development Approach and Future Direction

This implementation represents theoretical research through practical experimentation. The current PoC demonstrates core functionality while acknowledging its limitations - it is not optimized for performance, is resource-intensive, and is not production-ready. These constraints are intentional characteristics of proof-of-concept development, which prioritizes demonstrating that a concept works in principle over optimization or deployment readiness.

The architecture has proven that key-driven parameter generation and metaclass-based encryption are implementable concepts. Future development directions include exploring on-the-fly map generation rather than universe selection, integrating ML models for adaptive parameter derivation, implementing multiple simultaneous representation methods, optimizing computational performance, and extending support to additional hash algorithms like SHA-384, SHA-512, and BLAKE2s. Each enhancement will be explored through dedicated proof-of-concept implementations as the research progresses.

Conclusion

This enhanced PoC demonstrates that the Metaclass Encryption Architecture is implementable. It proves keys can generate entire encryption algorithms, DNA-driven parameters create unique mathematical universes, and multiple mapping strategies can coexist in one framework.

This is a proof-of-concept only. It does not claim to be unbreakable, production-ready, or optimized. It simply shows the theoretical concept can be translated into working code for examination and further research.

Related Reading:

Repository: github.com/hejhdiss/custom-encryption-poc

Author: Muhammed Shafin P (@hejhdiss)

License: CC BY-SA 4.0 (article), GPLv3 (code)

This is experimental theoretical research. My own design. Learning through experimentation. Sharing openly for community examination and feedback.

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