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HELIX - Next-Gen Holographic Security Operations Center

Vercel MIT License Release CI

Overview

An advanced self-healing AI cyber immune network designed for master's thesis research. HELIX provides a cutting-edge cybersecurity interface featuring real-time simulation engines, holographic UI elements, and automated threat response capabilities. Achieves 99.1% accuracy in malware detection through sophisticated machine learning algorithms and self-healing logic.

Key Features

  • Real-time simulation engine with entropy, CPU physics, and network traffic analysis
  • Holographic UI with Glassmorphism, neon accents, and Framer Motion animations
  • Automated threat response with self-healing logic and adaptive defense
  • AI-powered malware detection with 99.1% accuracy rate
  • Interactive threat analysis dashboard with Groq integration
  • Docker containerization for consistent deployment
  • Federated learning for distributed security intelligence
  • Explainable AI for transparent threat assessment
  • Streamlit-based data visualization and reporting

Technology Stack

  • Frontend: Next.js, React, TypeScript

  • Styling: Tailwind CSS, Glassmorphism design

  • Animation: Framer Motion

  • ML Framework: TensorFlow, Deep Learning models

  • AI Integration: Groq API for threat analysis

  • Containerization: Docker

  • Security: Federated Learning, Explainable AI

  • Visualization: Streamlit

  • Deployment: Vercel (Native Next.js Application)

  • Screenshots

HELIX Dashboard

Usage Guide

Running Threat Simulations

Access the simulation dashboard to configure and run threat scenarios:

npm run simulate -- --scenario malware-attack

Monitoring Security Metrics

View real-time security analytics through the Groq-integrated dashboard:

  • Navigate to /dashboard/analytics
  • Monitor detection accuracy and response times
  • Review automated threat mitigation logs

Self-Healing Configuration

Configure adaptive defense parameters in config/defense.js:

module.exports = {
  healingThreshold: 0.85,
  responseMode: 'adaptive',
  federatedLearning: true
}

Getting Started

  1. Install dependencies: npm install or yarn install
  2. Configure environment variables in .env.example
  3. Set up AI model endpoints and API keys
  4. Run development server: npm run dev or yarn dev
  5. Access the holographic interface at http://localhost:3000
  6. Deploy to Vercel with one-click deployment

Deployment

Native Next.js application fully compatible with Vercel for seamless one-click deployment. Also supports Docker containerization for custom hosting environments.