AirSecure

• JWT-based authentication with HttpOnly cookies
• Real-time rogue access point detection
• Machine learning-powered wireless security analysis
• Role-based access control and user management
• Responsive Material UI design system
• Type-safe development with TypeScript
• Docker deployment support

Overview

AirSecure is a full-stack security application that serves as the frontend for a hardware-based network security tool. The system leverages machine learning algorithms to identify malicious wireless networks, including rogue access points and evil twin attacks.

Tech Stack

Frontend

• Next.js (App Router)
• React
• Material UI
• Emotion styling

Backend

• Next.js API Routes
• Python ML Engine
• PostgreSQL database

Security

• JWT authentication
• HttpOnly cookie sessions
• Protected route middleware

Architecture

The application follows a modular, extensible architecture with clear separation of concerns. The frontend communicates with a Python-based machine learning engine that processes wireless network data and identifies potential security threats.

// Example: Protected API route
export async function GET(request: Request) {
  const session = await verifySession(request);
 
  if (!session) {
    return new Response('Unauthorized', { status: 401 });
  }
 
  // Process security data
  const threats = await detectThreats();
  return Response.json(threats);
}

Features

Security Detection

Real-time monitoring and detection of malicious wireless networks through hardware-based scanning and machine learning analysis.

User Management

Complete user registration, authentication, and profile management with role-based access control for team collaboration.

Data Visualization

Interactive dashboards displaying network security metrics, threat analytics, and historical detection data.