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July 13, 20260 citationsOpen Access

Semiconductor-Native Entropy Mapping (S-NEM) and Geometric Manifold Transformation (GMT): A Technical Framework for Absolute Existence Denial

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DPDarius Puzinas

Key Points

  • The aim is to develop a framework that enhances data security by shifting focus from content concealment to absolute existence denial.
  • Introduced a verified hardware-native framework for data security.
  • Utilized non-deterministic micro-architectural fluctuations.
  • Applied multi-dimensional geometric transforms to dissolve digital signals into ambient noise.
  • Achieved effective concealment of metadata and digital signals.
  • Prevented detection by deep packet inspection systems.
  • Enhanced security by integrating thermodynamic noise into the process.

Abstract

Traditional cryptographic paradigms focus entirely on content obfuscation. This leaves the underlying metadata footprints, packet sizes, and transmission channels exposed to deep packet inspection systems. This paper presents a verified hardware-native framework that shifts the security boundary from content concealment to absolute existence denial. By leveraging non-deterministic micro-architectural fluctuations alongside multi-dimensional geometric transforms, the architecture dissolves digital signals directly into the ambient thermodynamic noise floor of the host processor.

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Cite This Study

Darius Puzinas (2026) studied this question.

synapsesocial.com/papers/6a5482a4475c38bf615a5c92https://doi.org/10.5281/zenodo.21313377
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