Multi-Layered Recursive Cyber Deception Architecture Powered by True Cosmic-Ray Inter-Particle Randomized Shuffling (Particle-on-Particle) over Decentralized mDOM Meshes
- 1Independent Open-Source Researcher
Abstract
This paper proposes a next-generation active cyber defense system, "M-CRDS" (Multi-layered Cosmic-Ray Deception System), designed to fundamentally eliminate predictability vulnerabilities inherent in current cryptographic protocols and Moving Target Defense (MTD) mechanisms exposed to militarized autonomous AI intrusion agents and large-scale quantum computers running Shor's algorithm.
The proposed architecture entirely excludes algorithmic pseudorandom number generators (PRNGs) inside classical computing nodes, relying instead on the microscopic non-determinism of cosmic-ray muons as a primary entropy source. By constructing a terrestrial, crowdsourced mesh infrastructure utilizing mass-produced Multi-PMT Digital Optical Modules (mDOMs), the system implements an inter-particle randomized shuffling algorithm ("Particle-on-Particle") that forces adversarial predictive modeling into a permanent computational deadlock. Furthermore, upon threat detection, malicious traffic is seamlessly redirected to a global decoy network (UN/Allied Honey-Server) configured with fractal, recursive layers of cosmic-ray variable shields. The system also mitigates cold-boot initialization vulnerabilities by hot-swapping hardware-level analog thermal noise quantum random number generators (QRNGs).
Ultimately, M-CRDS estimates the theoretical limits of post-quantum resilience while simultaneously providing a global, real-time cosmic-ray vector observation infrastructure, thereby returning astronomical utility to the fundamental physics community as a dual-use scientific asset.
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BibTeX
@misc{kijinsuke2026multilayered,
title = {{Multi-Layered Recursive Cyber Deception Architecture Powered by True Cosmic-Ray Inter-Particle Randomized Shuffling (Particle-on-Particle) over Decentralized mDOM Meshes}},
author = {A. Kijinsuke},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23603086},
url = {https://zenodo.org/records/23603086},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Multi-Layered Recursive Cyber Deception Architecture Powered by True Cosmic-Ray Inter-Particle Randomized Shuffling (Particle-on-Particle) over Decentralized mDOM Meshes
AU - A. Kijinsuke
PY - 2026
DA - 2026/10/23
PB - Zenodo
DO - 10.5281/zenodo.23603086
UR - https://zenodo.org/records/23603086
AB - This paper proposes a next-generation active cyber defense system, "M-CRDS" (Multi-layered Cosmic-Ray Deception System), designed to fundamentally eliminate predictability vulnerabilities inherent in current cryptographic protocols and Moving Target Defense (MTD) mechanisms exposed to militarized autonomous AI intrusion agents and large-scale quantum computers running Shor's algorithm. The proposed architecture entirely excludes algorithmic pseudorandom number generators (PRNGs) inside classical computing nodes, relying instead on the microscopic non-determinism of cosmic-ray muons as a primary entropy source. By constructing a terrestrial, crowdsourced mesh infrastructure utilizing mass-produced Multi-PMT Digital Optical Modules (mDOMs), the system implements an inter-particle randomized shuffling algorithm ("Particle-on-Particle") that forces adversarial predictive modeling into a permanent computational deadlock. Furthermore, upon threat detection, malicious traffic is seamlessly redirected to a global decoy network (UN/Allied Honey-Server) configured with fractal, recursive layers of cosmic-ray variable shields. The system also mitigates cold-boot initialization vulnerabilities by hot-swapping hardware-level analog thermal noise quantum random number generators (QRNGs). Ultimately, M-CRDS estimates the theoretical limits of post-quantum resilience while simultaneously providing a global, real-time cosmic-ray vector observation infrastructure, thereby returning astronomical utility to the fundamental physics community as a dual-use scientific asset.
ER -