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QCOS NavCore™ Quantum GPS Security API Reference

Quantum-Enhanced GPS Security APIs

Copyright © 2024-2026 SoftQuantus Innovative OÜ. All Rights Reserved.


Overview

This document describes the Quantum GPS Security APIs that leverage real quantum computing for enhanced GPS security. These APIs provide:

  • Quantum Random Number Generation (QRNG) - True quantum randomness for cryptographic nonces
  • Post-Quantum Cryptography (PQC) - NIST-standardized quantum-resistant signatures
  • QML Spoofing Detection - Quantum machine learning for GPS attack detection
  • Quantum Kalman Filter - Enhanced state estimation for navigation
  • Quantum Sensor Simulation - Atom interferometry sensor modeling

Base URL: https://api.qcos.softquantus.com

API Version: v1

Authentication: Bearer token required


Quick Start

# Generate quantum random nonce for GPS
curl -X GET "https://api.qcos.softquantus.com/api/v1/qrng/nonce?size=32" \
-H "Authorization: Bearer YOUR_API_KEY"

# Detect GPS spoofing
curl -X POST "https://api.qcos.softquantus.com/api/v1/spoofing/detect" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"signals": [
{"prn": 1, "cn0": 45.0, "doppler": 1500.0, "pseudorange": 22000000.0}
]
}'

Algorithm Catalog

GET /api/v1/algorithms

List all available quantum GPS algorithms.

Response:

{
"qrng": {
"name": "Quantum Random Number Generation",
"sources": ["quantum", "hybrid", "classical"],
"capabilities": ["random_bytes", "uuid", "nonce"],
"description": "True quantum randomness for cryptographic applications"
},
"pqc": {
"name": "Post-Quantum Cryptography",
"algorithms": {
"dilithium2": {"security_level": 2, "type": "signature"},
"dilithium3": {"security_level": 3, "type": "signature"},
"dilithium5": {"security_level": 5, "type": "signature"},
"falcon512": {"security_level": 1, "type": "signature"},
"falcon1024": {"security_level": 5, "type": "signature"},
"sphincs_sha256_128f": {"security_level": 1, "type": "signature"}
},
"description": "NIST-standardized post-quantum signatures"
},
"spoofing_detection": {
"name": "QML Spoofing Detection",
"attack_types": ["meaconing", "replay", "synthetic", "multipath"],
"description": "Quantum machine learning for GPS spoofing detection"
},
"kalman_filter": {
"name": "Quantum Kalman Filter",
"modes": ["classical", "hybrid_covariance", "full_quantum"],
"max_state_dim": 15,
"description": "Quantum-enhanced state estimation for navigation"
},
"sensor_simulation": {
"name": "Quantum Sensor Simulation",
"sensors": ["gravimeter", "magnetometer", "accelerometer", "gyroscope"],
"description": "Quantum atom interferometry sensor simulation"
}
}

Quantum Random Number Generation (QRNG)

POST /api/v1/qrng/bytes

Generate quantum random bytes for cryptographic applications.

Request Body:

{
"n_bytes": 32,
"source": "hybrid"
}
ParameterTypeDefaultDescription
n_bytesinteger32Number of bytes to generate (1-1024)
sourcestring"auto"Entropy source: quantum, hybrid, classical

Response:

{
"data": "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6...",
"n_bytes": 32,
"source": "hybrid",
"entropy_bits": 256.0,
"timestamp": "2026-02-06T17:30:00.000Z"
}

Use Cases:

  • Cryptographic key generation
  • Session tokens
  • Initialization vectors
  • Secure nonces

GET /api/v1/qrng/uuid

Generate a quantum random UUID version 4.

Response:

{
"uuid": "3fc3de41-85a4-4fa9-af93-f50f6a01733c",
"version": 4,
"source": "hybrid",
"timestamp": "2026-02-06T17:30:00.000Z"
}

GET /api/v1/qrng/nonce

Generate a quantum random nonce for GPS anti-spoofing.

Query Parameters:

ParameterTypeDefaultDescription
sizeinteger32Nonce size in bytes (8-128)

Response:

{
"nonce": "c4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9...",
"size_bytes": 32,
"purpose": "gps_anti_spoofing",
"source": "hybrid",
"timestamp": "2026-02-06T17:30:00.000Z"
}

Use Cases:

  • GPS signal authentication
  • Anti-replay protection
  • Challenge-response protocols
  • Time synchronization verification

Post-Quantum Cryptography (PQC)

POST /api/v1/pqc/keypair

Generate a post-quantum cryptographic keypair using NIST-standardized algorithms.

Request Body:

{
"algorithm": "dilithium3"
}

Supported Algorithms:

AlgorithmSecurity LevelPublic KeyPrivate KeySignature
dilithium22 (128-bit)1,312 B2,528 B2,420 B
dilithium33 (192-bit)1,952 B4,000 B3,293 B
dilithium55 (256-bit)2,592 B4,864 B4,595 B
falcon5121 (128-bit)897 B1,281 B~666 B
falcon10245 (256-bit)1,793 B2,305 B~1,280 B
sphincs_sha256_128f1 (128-bit)32 B64 B17,088 B

Response:

{
"algorithm": "dilithium3",
"security_level": 3,
"public_key": "base64-encoded-public-key...",
"public_key_size": 1952,
"private_key_size": 4000,
"key_id": "key_abc123def456",
"created_at": "2026-02-06T17:30:00.000Z"
}

⚠️ Security Note: The private key is returned only in the response. Store it securely.


POST /api/v1/pqc/sign

Sign a message using post-quantum cryptography.

Request Body:

{
"message": "SGVsbG8gV29ybGQ=",
"private_key": "base64-encoded-private-key...",
"algorithm": "dilithium3"
}

Response:

{
"signature": "base64-encoded-signature...",
"signature_size": 3293,
"algorithm": "dilithium3",
"timestamp": "2026-02-06T17:30:00.000Z"
}

POST /api/v1/pqc/verify

Verify a post-quantum signature.

Request Body:

{
"message": "SGVsbG8gV29ybGQ=",
"signature": "base64-encoded-signature...",
"public_key": "base64-encoded-public-key...",
"algorithm": "dilithium3"
}

Response:

{
"valid": true,
"algorithm": "dilithium3",
"timestamp": "2026-02-06T17:30:00.000Z"
}

GPS Spoofing Detection

POST /api/v1/spoofing/detect

Analyze GPS signals for spoofing attacks using quantum machine learning.

Request Body:

{
"signals": [
{
"prn": 1,
"cn0": 45.0,
"doppler": 1500.0,
"pseudorange": 22000000.0,
"carrier_phase": 123456.789
},
{
"prn": 5,
"cn0": 42.0,
"doppler": -800.0,
"pseudorange": 21500000.0
},
{
"prn": 17,
"cn0": 38.0,
"doppler": 200.0,
"pseudorange": 23000000.0
}
],
"receiver_position": [51.5074, -0.1278, 100.0]
}
Signal FieldTypeRequiredDescription
prnintegerYesSatellite PRN number (1-32)
cn0floatYesCarrier-to-noise ratio (dB-Hz)
dopplerfloatYesDoppler shift (Hz)
pseudorangefloatYesPseudorange measurement (meters)
carrier_phasefloatNoCarrier phase (cycles)

Response:

{
"is_spoofed": false,
"confidence": 0.95,
"threat_level": "none",
"detected_attacks": [],
"recommendations": [],
"analysis_time_ms": 15.2,
"model_version": "qml_v1.0",
"timestamp": "2026-02-06T17:30:00.000Z"
}

Threat Levels:

LevelScore RangeDescriptionRecommended Action
none0.0 - 0.1No spoofing indicatorsContinue normal operation
low0.1 - 0.3Minor anomaliesIncrease monitoring
medium0.3 - 0.6Suspicious patternsEnable fallback sensors
high0.6 - 0.8Likely attackSwitch to backup navigation
critical0.8 - 1.0Confirmed attackImmediate position hold

Detectable Attack Types:

  • Meaconing - Rebroadcast of authentic GPS signals
  • Replay - Delayed replay of recorded signals
  • Synthetic - Artificially generated GPS signals
  • Multipath - Exploited signal reflections

Quantum Kalman Filter

POST /api/v1/kalman/navigate

Process navigation measurements with quantum-enhanced Kalman filtering.

Request Body:

{
"measurements": [
{"value": 100.0, "variance": 1.0, "measurement_type": "position"},
{"value": 5.0, "variance": 0.1, "measurement_type": "velocity"}
],
"state_dim": 6,
"use_quantum": true
}
ParameterTypeDefaultDescription
measurementsarrayRequiredList of measurement objects
state_diminteger6State vector dimension (1-15)
use_quantumbooleantrueEnable quantum processing

Response:

{
"state": {
"x": 100.5,
"y": 200.3,
"z": 50.1,
"vx": 5.0,
"vy": 3.0,
"vz": 0.1
},
"covariance_trace": 2.5,
"innovation": 0.1,
"quantum_advantage": 1.2,
"processing_time_ms": 5.3,
"timestamp": "2026-02-06T17:30:00.000Z"
}

Quantum Advantage: The quantum_advantage field indicates the speedup factor compared to classical processing:

  • 1.0 = Classical performance
  • 1.2 = 20% quantum improvement
  • 2.0+ = Significant quantum advantage

Quantum Sensor Simulation

POST /api/v1/sensor/simulate

Simulate quantum sensor measurements for testing and validation.

Request Body:

{
"sensor_type": "gravimeter",
"duration_ms": 100.0,
"n_atoms": 100000
}

Supported Sensors:

TypePhysicsPrecisionApplications
gravimeterAtom interferometry10⁻¹⁰ gGravity mapping, underground detection
magnetometerAtomic spin precession10⁻¹⁵ TMagnetic navigation, anomaly detection
accelerometerCold atom free-fall10⁻¹² m/s²Inertial navigation, seismic sensing
gyroscopeSagnac effect10⁻¹¹ rad/sRotation sensing, heading hold

Response:

{
"sensor_type": "gravimeter",
"measurement": 9.80665,
"uncertainty": 1e-10,
"snr": 1000000,
"n_samples": 1000,
"quantum_enhancement": 100.0,
"timestamp": "2026-02-06T17:30:00.000Z"
}

Azure Quantum Integration

NavCore integrates with Microsoft Azure Quantum for real quantum hardware execution.

Supported Providers

ProviderHardwareMax QubitsBest For
IonQTrapped ions32High fidelity, all-to-all connectivity
QuantinuumH-Series trapped ions20Highest fidelity gates
RigettiSuperconducting84Fast execution, large circuits
PASQALNeutral atoms100+Optimization problems

Configuration

export AZURE_QUANTUM_WORKSPACE_NAME=your-workspace
export AZURE_QUANTUM_RESOURCE_GROUP=your-resource-group
export AZURE_QUANTUM_SUBSCRIPTION_ID=your-subscription-id
export AZURE_QUANTUM_LOCATION=northeurope

Verified Results

Our Azure Quantum integration has been tested and verified:

✅ Workspace: softquantusQuantum (North Europe)
✅ Available Targets: 9 quantum processors
✅ Job Execution: SUCCEEDED
✅ Entropy Quality: 100% (4.0 bits / 4.0 bits max)

Error Codes

CodeDescription
400Bad Request - Invalid parameters
401Unauthorized - Invalid or missing API key
403Forbidden - Insufficient permissions
404Not Found - Endpoint or resource not found
429Too Many Requests - Rate limit exceeded
500Internal Server Error - Server error
503Service Unavailable - Quantum backend offline

Error Response Format:

{
"detail": "Error description",
"error_code": "QRNG_ENTROPY_LOW",
"timestamp": "2026-02-06T17:30:00.000Z"
}

Rate Limits

Endpoint TypeLimitWindow
QRNG endpoints100 reqper minute
PQC endpoints50 reqper minute
Spoofing detection20 reqper minute
Kalman filter100 reqper minute
Sensor simulation50 reqper minute

SDKs and Libraries

Python SDK

from qcos import NavCore

# Initialize
navcore = NavCore(api_key="your-api-key")

# Generate quantum nonce
nonce = navcore.qrng.nonce(size=32)
print(f"Nonce: {nonce.hex()}")

# Detect spoofing
result = navcore.spoofing.detect(signals=[
{"prn": 1, "cn0": 45.0, "doppler": 1500.0, "pseudorange": 22e6}
])
print(f"Spoofed: {result.is_spoofed}, Confidence: {result.confidence}")

# PQC signing
keypair = navcore.pqc.generate_keypair("dilithium3")
signature = navcore.pqc.sign(message, keypair.private_key)

Changelog

v1.0.0 (2026-02-06)

  • Initial release of Quantum GPS Security APIs
  • QRNG with quantum/hybrid/classical sources
  • PQC with CRYSTALS-Dilithium, Falcon, SPHINCS+
  • QML-based spoofing detection
  • Quantum Kalman filter navigation
  • Quantum sensor simulation
  • Azure Quantum integration

Copyright © 2024-2026 SoftQuantus Innovative OÜ. All Rights Reserved.

QCOS™ and NavCore™ are trademarks of SoftQuantus Innovative OÜ.