https://github.com/projects-developer/url-based-phishing-detection-using-machine-learning

URL Based Phishing Detection using machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/url-based-phishing-detection-using-machine-learning

bca-projects btech-projects computer-science-projects computerscienceproject cyber-security final-year-projects finalyearprojects machine-learning mca-projects mtech-projects phishing-detection security

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URL Based Phishing Detection using machine Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/url-based-phishing-detection-using-machine-learning
• Owner: Projects-Developer
• Created: 2025-02-17T08:38:20.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2026-01-22T11:38:43.000Z (3 months ago)
• Last Synced: 2026-01-23T02:32:15.197Z (3 months ago)
• Topics: bca-projects, btech-projects, computer-science-projects, computerscienceproject, cyber-security, final-year-projects, finalyearprojects, machine-learning, mca-projects, mtech-projects, phishing-detection, security
• Homepage: https://www.finalproject.in/
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# URL Based Phishing Detection Using Machine Learning

URL Based Phishing Detection using machine Learning with Code, Documents And Video Tutrial

![Phishing URL](https://github.com/user-attachments/assets/e5ddcf39-2d33-431f-ad53-95573810769f)

## Youtube link: https://youtu.be/nDxP_lJmVk4?si=lZj3YD0D7v47OZC8

## Abstract:

Phishing attacks are a significant threat to online security, targeting individuals and organizations by tricking them into revealing sensitive information. This study proposes an intelligent URL phishing detection system that uses machine learning algorithms to identify and classify phishing URLs. The system extracts features from URLs and uses a supervised learning approach to train a model to detect phishing URLs. Experimental results demonstrate the effectiveness of the proposed system in detecting phishing URLs with high accuracy. This system has the potential to provide real-time protection against phishing attacks and enhance online security.

Keywords: URL Phishing Detection, Machine Learning, Supervised Learning, Online Security, Cybersecurity, Phishing Attack Detection.

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

## How to Reach me :

### Mail : vatshayan007@gmail.com 

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### Website : https://www.finalproject.in/

### 💻 Youtube Channel: [Link](https://www.youtube.com/@computerscienceproject)

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