https://github.com/badhanhitesh/intrusion-detection

SecureCNN is a robust Convolutional Neural Network-based intrusion detection system designed to identify and mitigate unauthorized access attempts. This project combines the power of CNNs with a user-friendly web interface for real-time monitoring and alerts.
https://github.com/badhanhitesh/intrusion-detection

convolutional-neural-networks css3 datasets flask html5 python

Last synced: about 2 months ago
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SecureCNN is a robust Convolutional Neural Network-based intrusion detection system designed to identify and mitigate unauthorized access attempts. This project combines the power of CNNs with a user-friendly web interface for real-time monitoring and alerts.

• Host: GitHub
• URL: https://github.com/badhanhitesh/intrusion-detection
• Owner: badhanhitesh
• Created: 2024-04-07T09:48:32.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-22T07:55:43.000Z (almost 2 years ago)
• Last Synced: 2025-08-03T01:18:54.025Z (11 months ago)
• Topics: convolutional-neural-networks, css3, datasets, flask, html5, python
• Language: CSS
• Homepage: https://badhanhitesh.github.io/Intrusion-Detection
• Size: 21.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SecureCNN 🛡️

### Your Guardian Against Cyber Threats

## Table of Contents

- [Introduction](#introduction)

- [Features](#features)

- [Technologies](#technologies)

- [Installation](#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