Network Intrusion Detection System

About ϟ

A sophisticated Network Intrusion Detection System (NIDS) leveraging advanced threat intelligence, machine learning, and real-time monitoring capabilities to protect your network infrastructure.

Key Features ϟ

• Advanced Threat Intelligence

  • Real-time threat data integration
  • ML-based confidence scoring
  • Quantum-resistant cryptography
  • Blockchain-based threat sharing

• Intelligent Detection Engine

  • Machine learning-powered anomaly detection
  • Behavioral analytics
  • Zero-day vulnerability scanning
  • Memory forensics capabilities

• Real-time Monitoring

  • Network traffic analysis
  • Distributed monitoring system
  • Automated incident response
  • Real-time visualization

• Comprehensive Forensics

  • Network packet capture and analysis
  • Memory forensics integration
  • Automated evidence collection
  • Chain of custody maintenance

Prerequisites ϟ

• C++17 compatible compiler
• CMake 3.x or higher
• Boost libraries
• OpenSSL
• nlohmann/json
• spdlog
• libcurl

Quick Start ϟ

# Clone the repository
git clone https://github.com/kernelstub/NIDS.git

# Create build directory
mkdir build && cd build

# Configure and build
cmake ..
make

# Run the system
./nids

Documentation ϟ

Detailed documentation is available in the docs directory:

• Architecture Overview
• Configuration Guide
• Threat Intelligence
• Detection Engine
• API Reference
• Contributing Guidelines

Configuration ϟ

The system can be configured through the config/nids_config.json file. See the Configuration Guide for detailed settings.

Sample Configuration

{
  "threat_intelligence": {
    "feeds": [...],
    "update_interval": 3600,
    "cache_ttl": 86400
  },
  "detection_engine": {
    "sensitivity": "high",
    "ml_model_path": "models/"
  }
}

Architecture ϟ

The system is built with a modular architecture:

graph TD
    A[Packet Capture] --> B[Detection Engine]
    B --> C[Threat Intelligence]
    C --> D[Incident Response]
    D --> E[Visualization]

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Contributing ϟ

Contributions are welcome! Please read our Contributing Guidelines before submitting pull requests.

License ϟ

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments ϟ

• OpenSSL
• Boost
• nlohmann/json
• spdlog

Support ϟ

For support, please open an issue in the GitHub issue tracker or contact the maintainers.