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EntropyVault

Author: M_Cristian'06 README generated with assistance from ChatGPT. Concept and idea fully created by M_Cristian'06.


Overview

EntropyVault is a conceptual framework for an advanced, distributed, entropy-driven encryption system. It combines physical sensors, AI-generated randomness, and dynamic environmental inputs to generate cryptographic keys that are nearly impossible to predict or reproduce without direct access to all nodes.

The goal is to explore next-generation cryptographic security by merging hardware randomness with AI-driven unpredictability.


Conceptual Architecture

  1. Distributed Nodes

    • 7 physical nodes in secure locations.
    • Each node contains multiple sensors (light, wind, temperature, satellite position, star tracking, sound, etc.).
    • Nodes contribute partial entropy independently to the key generation process.
  2. Randomized Sensor Inputs

    • Sensors move and rotate randomly to prevent predictability.
    • Readings are aggregated pseudo-randomly from different nodes.
    • AI modules generate additional random inputs via temporary image generation every 30 seconds.
  3. Entropy Aggregation

    • Randomly selected inputs from nodes are combined to produce a final cryptographic key.
    • Keys continuously change over time, making prediction or reconstruction virtually impossible.
  4. Security Layers

    • Physical security: nodes in high-security areas with perimeter defenses.
    • Hardware randomness: sensors move unpredictably.
    • Software randomness: AI-generated data enhances entropy.

Features & Benefits

  • Dynamic Keys: Every generated key is unique and constantly changing.
  • AI + Physical Entropy: Combines environmental noise, mechanical randomness, and AI inputs.
  • Scalable Concept: Easily expanded with more nodes or sensors.
  • High-Security Potential: Suitable for research or conceptual exploration of ultra-secure systems.

Use Cases

  • Experimental cryptographic key generation.
  • Research in distributed entropy systems.
  • AI-driven randomness studies.
  • Conceptual frameworks for next-gen cybersecurity solutions.

Ethical Use Statement

This project is conceptual only. It should not be used for illegal, malicious, or live encryption of sensitive data. Responsible, ethical use is required.


License

EntropyVault – Custom Proprietary License

Author: M_Cristian'06

  • The concept, design, and all materials are the sole property of M_Cristian'06.
  • No part of this project may be used, copied, modified, or redistributed without explicit written permission from M_Cristian'06.
  • Redistribution requires explicit permission.
  • This project is not a fully implemented system and should not be used for actual encryption.
  • The author is not responsible for misuse or damages arising from attempts to implement the concept.

By using or referencing this project, you agree to comply with all terms above.

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AI + hardware randomness framework for next-gen encryption concepts.

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