🌌 Quant-Orbital (quant-orbital)

Quant-Orbital is a next-generation, post-quantum cryptographic (PQC) security mesh and telemetry verification system designed for distributed satellite constellations. Operating at the intersection of aerospace software engineering and quantum-resistant cryptography, this system safeguards satellite command pipelines (uplink) against quantum-computing adversaries while ensuring deterministic, zero-allocation memory footprints on edge-side space hardware.

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🏗️ System Architecture

The project is built using a decoupled, highly cohesive Maven Multi-Module Architecture optimized for resource-constrained embedded environments via GraalVM Native Image Compilation.

graph TD
    %% Ground Station Configuration
    GS[Ground Control Station]
    GS -->|Signs commands via NIST ML-DSA-65| GNET[gRPC Network Edge]

    %% Mesh Layer Configuration
    subgraph QUANT-ORBITAL-MESH [Network & Consensus Layer]
        GNET --> SMN[SatelliteMeshNode<br>Virtual Threads / Project Loom]
        SMN <--> BDE[ByzantineDefenseEngine<br>Decentralized Quarantine]
    end

    %% Core Layer Configuration
    subgraph QUANT-ORBITAL-CORE [Hardware & Crypto Layer]
        SMN -->|Passes verified raw binary buffers| CCE[CommandCryptographyEngine<br>Bouncy Castle PQC Engine]
        SMN -->|Ingests high-frequency metrics| NSM[NativeSpaceMemoryBuffer<br>Project Panama Off-Heap RAM]
    end

    %% Styling Elements
    style GS fill:#1a1a2e,stroke:#30475e,stroke-width:2px,color:#fff
    style QUANT-ORBITAL-MESH fill:#16213e,stroke:#0f3460,stroke-width:1px,color:#fff
    style QUANT-ORBITAL-CORE fill:#1f4068,stroke:#e43f5a,stroke-width:1px,color:#fff

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🛠️ Core Technology Stack & Architectural Highlights

1. quant-orbital-core (Post-Quantum Cryptography & Hardware Memory)

   • NIST ML-DSA (CRYSTALS-Dilithium65): Implemented via Bouncy Castle PQC API. Protects critical maneuvers from algorithmic break-ins by future quantum computers.
   • Project Panama (Foreign Function & Memory API): Bypasses standard JVM Garbage Collection completely. Telemetry matrices are written directly into off-heap native memory segments (Arena.ofShared()), ensuring microsecond-level determinism and avoiding JVM OutOfMemoryError states.
   • Data Invariance: Utilizing Java Records to guarantee read-only immutability of space commands, eliminating data corruption risks during thread execution.

2. quant-orbital-mesh (Distributed Actor Mesh & Consensus)

   • Project Loom (Virtual Threads): Spawns ultra-lightweight virtual threads per constellation socket connection, lifting the constraints of expensive OS platform threads.
   • Byzantine Fault Tolerance (BFT): Implements an in-memory decentralized node voting policy N >= 3f + 1. If an orbital node is compromised or hit by severe space radiation, peer nodes autonomously achieve consensus to quarantine the corrupted entity.
   • High-Performance gRPC / Protobuf: Replaces heavy text-based JSON footprints with ultra-dense, optimized raw binary protocols over multiplexed HTTP/2 streams.

3. quant-orbital-simulator (Real-Time Uplink & Cyber Attack Vectors)

   • Simulates legitimate ground telemetry ingestion alongside a simulated Quantum-Powered Man-In-The-Middle (MITM) signature injection attack to demonstrate real-time defensive trigger switches.

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📂 Project Repository Structure

quant-orbital/
├── .github/workflows/
│   └── build-native.yml          # GraalVM automated CI/CD build configuration
├── quant-orbital-core/           # Cryptographic primitives, Records, and Off-Heap Buffer
├── quant-orbital-mesh/           # gRPC Service Layer, Protobuf schemas, and BFT Engine
└── quant-orbital-simulator/      # Operational simulation orchestration suite

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🚀 Building and Running the Pipeline

Prerequisites

• Java SDK 21 or higher (GraalVM Community Edition heavily recommended)
• Apache Maven 3.9+

Step 1: Clone the Repository

git clone https://github.com/yagizyagli/quant-orbital
cd quant-orbital

Step 2: Compile & Run Simulation

Compile all independent sub-modules and run the end-to-end mission verification workflow:

mvn clean install
mvn exec:java -pl quant-orbital-simulator -Dexec.mainClass="com.quantorbital.simulator.EngineSimulatorApplication"

Step 3: Compiling to Native Image (Zero-JVM Flight Mode)

To generate stand-alone native execution binaries stripped of JVM overhead:

mvn package -Pnative

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🌟 Support the Research

If you find this repository valuable for understanding Post-Quantum Cryptography (PQC), Advanced Java Concurrency (Loom), or Low-Level Native Memory Access (Panama) in Aerospace systems, please drop a star!

Your star drives continuous optimization updates to this repository. ⭐

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👤 Author

• Yağız Yağlı - @yagizyagli
• Live Demo - @quant-orbital

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📄 License

Apache License 2.0