https://github.com/projects-developer/malware-detection-using-machine-learning-and-deep-learning

Malware detection is a critical task in cybersecurity that involves identifying and classifying malicious software.
https://github.com/projects-developer/malware-detection-using-machine-learning-and-deep-learning

aiforcybersecurity artificial-intelligence btechprojects computerscienceprojects cybersecurity deep-learning machine-learning malware-detection mlforsecurity mtechprojects network-security

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Malware detection is a critical task in cybersecurity that involves identifying and classifying malicious software.

• Host: GitHub
• URL: https://github.com/projects-developer/malware-detection-using-machine-learning-and-deep-learning
• Owner: Projects-Developer
• Created: 2024-12-21T08:32:13.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-12-21T09:07:03.000Z (6 months ago)
• Last Synced: 2025-01-05T13:13:49.589Z (6 months ago)
• Topics: aiforcybersecurity, artificial-intelligence, btechprojects, computerscienceprojects, cybersecurity, deep-learning, machine-learning, malware-detection, mlforsecurity, mtechprojects, network-security
• Homepage: https://www.finalproject.in/
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Malware Detection Using Machine learning and Deep Learning

Malware detection Usine Machine learning and deep learning With Code, documents and Video tutorial

![Malware](https://github.com/user-attachments/assets/7b2df7c5-0474-482b-bcbd-fffa78af9279)

## youtube video: https://youtu.be/sytw02floHA?si=JeSoEYs_S1Bjzhpm

## Abstract:

The rapid evolution of malware has rendered traditional signature-based detection methods ineffective. Machine learning (ML) and deep learning (DL) have emerged as promising solutions for detecting malware. This paper provides an overview of malware detection using ML and DL techniques. We discuss the advantages and challenges of using ML and DL for malware detection, and highlight real-world applications. Our goal is to provide a comprehensive understanding of the role of ML and DL in malware detection.

keywords: Malware detection, Machine learning, Deep learning, Cybersecurity, Artificial intelligence, Threat detection, Anomaly detection

### 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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