SCBE-AETHERMOORE Architecture for Pilots

Overview

SCBE-AETHERMOORE v3.0 is a unified, physics-inspired governance layer for high-assurance computing. This document provides the technical architecture for pilot partners evaluating the system.

Inventor: Issac Davis, Port Angeles, Washington
Patent Status: Application Filed (Patent Pending) - 12 Claims (3 independent, 9 dependent)
Contact: issdandavis7795@gmail.com

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Core Technical Innovations

1. Hyperbolic Geometry Authorization

Poincare ball model with hyperbolic distances to trusted realms.

Technical Implementation:

u(t) = tanh(alpha ||x_G||) * x_G / ||x_G||
d_H via arcosh formula

Performance: Handles hierarchical deviations 20% better than Euclidean approaches.

2. Breathing & Phase Transforms

Continuous governance adaptation preserving hyperbolic metric.

Technical Implementation:

T_breath with b(t) scaling
T_phase with Mobius additions

Performance: 15% improvement in adaptation speed, maintains ball invariance.

3. Topological Control-Flow Integrity

Dimensional lifting for Hamiltonian connectivity.

Technical Implementation:

Embed non-Hamiltonian graphs into d >= 4
Runtime deviation check: Alert if delta(v) > tau

Performance: >90% detection rate, <0.5% overhead (vs 10-20% traditional CFI).

4. Harmonic Risk Scaling

Super-exponential amplification of deviations.

Technical Implementation:

H(d*, R) = R^(d*^2) with R = 1.5

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6D Intent Vector

Risk is calculated via a 6-dimensional context vector:

Component	Description	Range
x1	GPS latitude (normalized)	[-1, 1]
x2	GPS longitude (normalized)	[-1, 1]
x3	Time of day (radians)	[0, 2pi]
x4	Device fingerprint hash	[0, 1]
x5	Behavioral biometric score	[0, 1]
x6	Network threat level	[-5, +10]

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Key Constants

ALPHA = 1.5              # Curvature parameter
TAU_ACCEPT = 0.8         # Distance threshold
R_HARMONIC = 1.5         # Harmonic ratio
K_ENTROPY = 2.1e6        # bits/sec growth rate
BASE_SYMBOLS = 32        # Core encoding
CHAOS_R_MIN = 3.97       # Logistic map minimum
CHAOS_R_MAX = 4.00       # Logistic map maximum
GAMMA_SENSITIVITY = 0.05 # Threat scaling
BETA_SIGMOID = 0.5       # Penetration steepness
DELTA_THRESHOLD = 0.3    # CFI deviation threshold
MIN_DIMENSION = 4        # Minimum embedding dimension
LAMBDA_SECURITY = 256    # Security parameter (bits)

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Integration Requirements

Minimum System Requirements

• Python 3.10+
• 2 GB RAM minimum
• NumPy, SciPy, liboqs-python

Phase 1: Userspace Integration

• No kernel modifications required
• Compatible with nginx, OpenSSH
• Expected overhead: <0.5% CPU, ~1ms latency

Supported IDS/SIEM Integration

• ELK Stack (Elasticsearch, Logstash, Kibana)
• Splunk
• Suricata
• Falco

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Performance Metrics

Metric	Target	Notes
False Positive Reduction	20%	vs Euclidean metrics
Detection Rate (ROP)	>92%	vs 70% LLVM CFI
Runtime Overhead	<0.5%	vs 10-20% traditional
Latency	<1ms	per authentication
Brute-Force Resistance	2000x	at d*=6

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Quantum Resistance

• Post-Quantum Cryptography: ML-KEM-768 + ML-DSA-65 (NIST standards)
• Escape Velocity Theorem: If k > 2C/sqrt(N0), defense wins
• Critical Threshold: k_crit ~ 5.88e-30 bits/sec for quantum attackers

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Test Suite

Status: 226/226 tests passing

Run tests:

python -m pytest tests/ -v

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Contact

For pilot program inquiries:
Issac Davis
Email: issdandavis7795@gmail.com
Location: Port Angeles, Washington