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https://github.com/projects-developer/malware-detection-using-deep-learning-project-
The Malware Detection Using Deep Learning Project aims to develop an efficient and accurate malware detection system using deep learning techniques.
https://github.com/projects-developer/malware-detection-using-deep-learning-project-
artificialintelligence btechprojects computerscienceprojects convolutionalneuralnetworks cybersecurity deeplearning deeplearningforsecurity machinelearning malwaredetection mtechprojects neuralnetworks threatdetection
Last synced: 3 days ago
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The Malware Detection Using Deep Learning Project aims to develop an efficient and accurate malware detection system using deep learning techniques.
- Host: GitHub
- URL: https://github.com/projects-developer/malware-detection-using-deep-learning-project-
- Owner: Projects-Developer
- Created: 2024-12-27T09:45:58.000Z (12 days ago)
- Default Branch: main
- Last Pushed: 2024-12-27T09:51:14.000Z (12 days ago)
- Last Synced: 2024-12-27T10:28:40.227Z (12 days ago)
- Topics: artificialintelligence, btechprojects, computerscienceprojects, convolutionalneuralnetworks, cybersecurity, deeplearning, deeplearningforsecurity, machinelearning, malwaredetection, mtechprojects, neuralnetworks, threatdetection
- Homepage: https://www.finalproject.in/
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Malware-Detection-Using-Deep-Learning-Project-
The Malware Detection Using Deep Learning Project With Code, Dcouments and video Tutorial![Malware (1)](https://github.com/user-attachments/assets/e00f6d38-ae15-4cd2-aa39-4a9b0ba774b1)
## Youtube: https://youtu.be/f-JRYJWVKKE?si=I1t-2RNsaIjenBZ2
## Abstract:
The Malware Detection Using Deep Learning Project develops an efficient and accurate malware detection system using deep learning techniques. The project utilizes convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to analyze malware samples and detect malicious behavior. The system is trained on a large dataset of malware samples and achieves high accuracy in detecting malware.Keywords: Malware Detection, Deep Learning, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Malware Analysis, Cybersecurity
### 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 : [email protected]
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### Website : https://www.finalproject.in/
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