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Malware Detection Using Deep Learning Project

The Malware Detection Using Deep Learning Project With Code, Dcouments and video Tutorial

Malware (1)

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

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