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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
artificial-intelligence cybersecurity deep-learning machine-learning malware-detection network-security
Last synced: 4 days ago
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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 (19 days ago)
- Default Branch: main
- Last Pushed: 2024-12-21T09:07:03.000Z (19 days ago)
- Last Synced: 2024-12-21T09:25:47.984Z (19 days ago)
- Topics: artificial-intelligence, cybersecurity, deep-learning, machine-learning, malware-detection, network-security
- Homepage: https://www.finalproject.in/
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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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