Mobile AGI Physical-Layer Security Framework: Topological Geometric Offload and Thermodynamic Hardware Interlocks

Read full text
Authors: Chin-Yu Hsu
Cited by: 2

Abstract

This preprint proposes a mobile-device physical-layer security framework for 24/7 Mobile AGI terminals, integrating Topological Geometric Offload (TGO), a bounded out-of-band perturbation ζ(t) control loop, and the Zeno-Triggered Joule Latch (ZTJ-L) as a forensic end-state option. The framework positions sensors, ISP, NPU, memory, package interconnects, and power management as the physical basis for human oversight, privacy protection, and safe interruption. It further introduces three physical-causality anti-fraud mechanisms — Environmental Entropy Coupling (ECM), Spatial Inertial Phase Identification (SII), and Causal Vacuum Detection (CVD) — as a risk-scoring and evidence-binding layer, not as replacements for cryptography, PKI, TLS, FIDO, C2PA, or the OS permission model. All technical statements are framed as falsifiable, bounded-architecture hypotheses. Device-level non-public implementation parameters, material thresholds, calibration matrices, routing coordinates, pulse waveforms, supplier parameters, and vendor-specific business targets are intentionally omitted. Companion Research Family: This V3.5 consumer-device preprint is co-released with the telecom-infrastructure paper "DSP-Relieved Physical-Layer Compensation for 6G Sub-THz Fronthaul Using Topological Geometric Offload" (V7.5 Final Preprint, DOI: 10.5281/zenodo.19955479). Machine-Readable Note: The PDF rendering is the authoritative visual version of the mathematical notation. OCR or automated text extraction may not preserve subscripts, Greek symbols, equation fractions, dashes, or citation ranges. A companion DOCX or machine-readable source file may be used for exact notation. Release Positioning: Academic preprint only. Not a commercial offer, licensing proposal, compliance certification, legal opinion, or enabling disclosure.

Fields of Study & Subjects

Big Data and Digital Economy Cryptographic Implementations and Security Digital Image Processing Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 May 2026
Language
EN
Document type
Preprint