Biometric Feature-Dimension Cryptography: Quantum-Resilient Keying via EM Resonance Profiling

Biometric cryptosystems have historically relied on low-dimensional, static physical features to generate or bind cryptographic material, remaining vulnerable to spoofing, inversion, and replay attacks due to template exposure and limited entropy space. This paper introduces Biometric Feature-Dimension Cryptography (BFDC), a groundbreaking cryptographic framework that leverages whole-body electromagnetic (EM) resonance profiling as a dynamic entropy source. BFDC integrates quantum magnetometry, harmonic phase encoding, and high-dimensional feature extraction to generate individualized cryptographic keys with unprecedented uniqueness and resistance to spoofing. The biometric signature space exceeds 30,000 dimensions per individual, incorporating frequency, amplitude, phase, and spatial gradient harmonics. Unlike traditional biometric cryptosystems, BFDC delivers a live, tamper-evident cryptographic primitive tailored for post-quantum resilience and zero-trust architectures. Experimental validation demonstrates superior entropy distribution, spoof detection rates, and replay resilience compared to conventional systems. This work presents the first biometric cryptosystem to combine gradient-entropy hashing, phase-shift encryption, and harmonic replay liveness challenges within a quantum-sensing framework, marking a paradigm shift in secure identity systems.