EGen Security AI

EGen Security AI is a fun and educational cybersecurity platform that helps you learn about staying safe online while also providing powerful tools to check if your files are secure.

Features

• Cybersecurity Courses: Learn about online safety with courses for all ages and skill levels
• Security Scanner: Check your files for viruses and security problems
• AI-Powered Analysis: Smart computer programs that can detect security threats
• Interactive Dashboard: See your progress and security status with colorful charts
• User-Friendly Interface: Simple design that's easy for everyone to use

Who Is This For?

• Kids and Students: Learn cybersecurity basics with fun, easy-to-understand courses
• Parents and Teachers: Help children understand online safety
• Beginners: Start learning about cybersecurity with no technical background
• IT Professionals: Advanced courses for security experts and penetration testers
• Developers: Learn secure coding practices and scan your code for vulnerabilities

Project Structure

├── client/                # Frontend website code
│   ├── public/            # Images and other files
│   └── src/               # Website code
│       ├── components/    # Reusable parts of the website
│       ├── pages/         # Different pages you can visit
│       ├── hooks/         # Special functions for the website
│       ├── services/      # Code that talks to the server
│       ├── store/         # Where data is stored
│       └── utils/         # Helper functions
│
├── src/                   # Backend server code
│   ├── ai/                # Artificial intelligence models
│   ├── api/               # How the website talks to the server
│   ├── config/            # Settings for the application
│   ├── db/                # Database code
│   ├── security/          # Security scanning tools
│   └── utils/             # Helper functions
│
├── courses/               # Learning materials
│   ├── basics/            # Courses for beginners
│   ├── intermediate/      # Courses for people with some knowledge
│   ├── advanced/          # Courses for experienced users
│   └── expert/            # Courses for professionals
│
├── models/                # Smart AI models that help detect threats
├── datasets/              # Information used to train the AI
└── logs/                  # Records of what the program does

Our Courses

We've created over 20 courses across different difficulty levels:

Basics (For Everyone)

• Cybersecurity Fundamentals: Learn the basics of staying safe online
• Digital Privacy: Controlling what information you share online
• Password Security Basics: Create strong passwords that are hard to guess
• Safe Web Browsing: How to explore the internet safely
• Protecting Your Personal Information: Keep your private details secure
• Recognizing Phishing Attempts: Spot scammers trying to trick you
• Social Media Safety: Stay safe while using social networks

Intermediate (Some Experience Needed)

• Network Security Fundamentals: Understanding how computer networks work
• Understanding Malware: Learn about viruses and how they spread
• Wireless Network Security: Keep your WiFi network safe
• Personal Device Security: Protect your phones and tablets
• Security for Online Shopping: Shop online without getting scammed
• Introduction to Encryption: How secret codes protect your information

Advanced (For Tech-Savvy Users)

• Ethical Hacking Fundamentals: Testing security the right way
• Secure Coding Practices: Writing computer code that's safe from hackers
• Incident Response Basics: What to do when something goes wrong
• Threat Hunting: Finding hidden dangers in computer systems
• Security Tool Development: Building your own security tools
• Cloud Security: Keeping data safe in the cloud

Expert (For Professionals)

• Machine Learning for Security: Using AI to detect threats
• Advanced Malware Analysis: Taking apart dangerous software
• Security Architecture Design: Building secure computer systems
• Advanced Network Defense: Protecting networks from sophisticated attacks
• APT Detection and Response: Finding and stopping advanced hackers

Getting Started

What You'll Need

• Python 3.8 or higher (a programming language)
• Node.js 16 or higher (another programming language)
• npm or yarn (tools for installing software)

Installation

1. Get the code:

git clone https://github.com/your-username/egen-security-ai.git
cd egen-security-ai

2. Set up a special environment for the code to run in:

python -m venv venv
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate

3. Install the programs the server needs:

pip install -r requirements.txt

4. Install the programs the website needs:

cd client
npm install
cd ..

5. Create a settings file: Copy the .env.example file to a new file called .env and change the settings.

Running the Program

For Testing and Development

1. Start the server:

python main.py --debug --reload

2. In a new window, start the website:

cd client
npm start

3. Visit http://localhost:3000 in your web browser

For Regular Use

1. Build the website files:

cd client
npm run build
cd ..

2. Start everything:

python main.py

3. Visit http://localhost:8000 in your web browser

Using the Security Scanner

You can check files to see if they have security problems:

from src.security import scan_file

# Check a file
result = scan_file('/path/to/file.py')
print(f"Threats found: {result['threats_detected']}")
print(f"Is it dangerous: {result['is_malicious']}")

# See details about any problems found
for match in result['signature_matches']:
    print(f"Problem: {match['name']} (How bad: {match['severity']})")
    print(f"What it means: {match['description']}")

For Developers

Running Tests

Make sure everything is working correctly:

pytest tests/

Code Style

We keep our code neat and tidy:

# Format Python code
black src/ tests/

# Check JavaScript code
cd client
npm run lint

License

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

Acknowledgments

• The EGen Security AI Team for creating this project
• Open-source security tools and datasets that helped make this possible
• All the students and teachers who provided feedback on our courses