https://github.com/projects-developer/cyber-threat-detection-using-machine-learning

Cyber threat detection using machine learning is a proactive approach to cybersecurity that involves training machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/cyber-threat-detection-using-machine-learning

artificial-intelligence computerscienceproject computerscienceprojects cyber-threat-detection cybersecurity final-year-project final-year-projects finalyearproject finalyearprojects machine-learning network-security

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Cyber threat detection using machine learning is a proactive approach to cybersecurity that involves training machine learning algorithms. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/cyber-threat-detection-using-machine-learning
• Owner: Projects-Developer
• Created: 2024-12-24T10:39:05.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-01-18T12:18:25.000Z (5 months ago)
• Last Synced: 2025-06-17T06:02:48.367Z (5 days ago)
• Topics: artificial-intelligence, computerscienceproject, computerscienceprojects, cyber-threat-detection, cybersecurity, final-year-project, final-year-projects, finalyearproject, finalyearprojects, machine-learning, network-security
• Homepage: https://www.finalproject.in/
• Size: 5.86 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Cyber Threat Detection Using Machine Learning

Cyber threat detection using machine learning With Code, Documents And Video Tutorial

![Cyber Threat](https://github.com/user-attachments/assets/39056f78-19c8-46f4-8c9f-3e6fb9388115)

## Youtube Video: https://youtu.be/j_cRarkEwv4?si=KJuT10BJ0yt52SMq

## Abstract: 

Cyber threat detection is a critical component of modern cybersecurity systems. Traditional signature-based detection methods are ineffective against zero-day attacks and advanced persistent threats. This paper proposes a machine learning-based approach for cyber threat detection. Our approach uses a combination of supervised and unsupervised learning algorithms to detect anomalies in network traffic. Experimental results demonstrate the effectiveness of our approach in detecting cyber threats with high accuracy.

Keywords: Cyber Threat Detection, Machine Learning, Artificial Intelligence, Cybersecurity, Network Security, Anomaly Detection, Predictive Analytics

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

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