Intrusion-Detection

SecureCNN 🛡️

Your Guardian Against Cyber Threats

Table of Contents

• Introduction
• Features
• Technologies
• Installation

Introduction

🚀 Implementing SecureCNN

SecureCNN is a powerful system that uses Convolutional Neural Networks (CNNs) to detect and prevent unauthorized access to a computer network. The system works by analyzing network data to identify potential security threats. It features an easy-to-use web interface that lets users monitor these threats in real-time and receive immediate alerts if any suspicious activity is detected. This combination of advanced technology and user-friendly design helps keep networks secure and allows for quick responses to potential security issues.

Features

✨ Key Features

• 🔒 Intrusion Detection: CNN-based system to detect unauthorized access attempts.
• 🌐 Web Interface: Responsive interface using HTML, CSS, and Flask.
• 📊 Real-time Monitoring: Real-time alerts and monitoring capabilities.

Technologies

🛠️ Technologies Used

• Python
• HTML
• CSS
• Flask
• Datasets
• Convolutional Neural Networks (CNN)

Installation

```bash

Clone the repository

git clone https://github.com/badhanhitesh/SecureCNN.git

Navigate to the project directory

cd SecureCNN

Install dependencies

pip install -r requirements.txt

Run the application

python app.py