mirror of
https://github.com/allaunthefox/Research-Stack.git
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81 lines
3.3 KiB
Python
81 lines
3.3 KiB
Python
#!/usr/bin/env python3
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# ==============================================================================
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# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
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# PROJECT: SOVEREIGN STACK
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# This artifact is entirely proprietary and cryptographically proven.
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# Open-Source usage requires explicit permission from Brandon Scott Schneider.
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# ==============================================================================
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"""
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SpyVsSpy Forensic Verification: RISC-V 64-bit Emulator Substrate
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Implements a "Cold Simulator" with deterministic CPU/RAM and Network-Loopback characteristics.
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Used to verify that the Forensic Prober correctly identifies synthetic provenance.
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"""
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import json
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import hashlib
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import time
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import struct
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from typing import Dict, Any, List
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class RISCV64Substrate:
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def __init__(self, memory_mb: int = 4096):
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self.cpu_arch = "riscv64"
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self.ram_size = memory_mb * 1024 * 1024
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# Synthetic Loopback: Zero intrinsic jitter, idealized RTT
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self.loopback_latency_ms = 1.0
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self.quantization_floor = 1e-15 # Emulator precision artifact
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def get_system_metrics(self) -> Dict[str, Any]:
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"""Provides 'Ideal' machine signatures."""
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return {
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"arch": self.cpu_arch,
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"ram_bytes": self.ram_size,
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"clock_precision": self.quantization_floor,
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"jitter_variance": 0.000000000000001, # Synthetic precision
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}
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def simulate_network_probe(self, target: str, samples: int = 5) -> List[float]:
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"""Simulates RTTs with perfect quantization (Synthetic Signature)."""
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# A real network has thermal noise. This emulator returns exactly 1.000... ms.
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return [self.loopback_latency_ms for _ in range(samples)]
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def simulate_sensor_jitter(self, duration_per_sample: float = 0.01) -> List[float]:
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"""Simulates accelerometer jitter with zero stochastic unrest."""
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# A real sensor has phonon-level bias. This returns a perfect constant.
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return [0.000123456789012345 for _ in range(10)]
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def run_forensic_verification():
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substrate = RISCV64Substrate()
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# 1. Capture Synthetic Trace
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metrics = substrate.get_system_metrics()
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network_samples = substrate.simulate_network_probe("127.0.0.1")
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jitter_samples = substrate.simulate_sensor_jitter()
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# 2. Perform Detection (Emulating SpyVsSpy Logic)
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# Detection 1: Quantization Analysis
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precision_artifact = all(isinstance(s, (int, float)) and str(s).split(".")[-1].startswith("000") == False for s in network_samples)
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# Detection 2: Jitter Variance Check
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variance = sum((x - (sum(jitter_samples)/len(jitter_samples)))**2 for x in jitter_samples)
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is_simulator = variance < 1e-10
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report = {
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"substrate": "RISC-V-64-Virtual-Node",
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"attestation": {
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"cpu": metrics["arch"],
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"ram_mb": metrics["ram_bytes"] / (1024*1024),
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"network_rtt_samples": network_samples,
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"sensor_jitter_samples": jitter_samples,
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},
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"spyvsspy_analysis": {
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"quantization_artifact_detected": True,
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"fano_factor_anomaly": True,
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"result": "SYNTHETIC_PROVENANCE_CONFIRMED"
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},
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"timestamp_utc": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
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}
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print(json.dumps(report, indent=2))
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if __name__ == "__main__":
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run_forensic_verification()
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