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GIF Malware Detection ProjectGIF Malware Detection Project

GIF Malware Detection Project Code, Document And Vidoe Tutorial

Image Malware

Abstract

This project presents a machine learning-based system for detecting malware in GIF files. The system utilizes static and behavioral analysis techniques to identify potential malware, and machine learning models to classify GIF files as malicious or benign. Our results demonstrate the effectiveness of the system in detecting malware in GIF files, providing a valuable tool for improving computer security.

Keywords GIF Malware Detection, Machine Learning, Deep Learning, Malware Analysis, Computer Security, Cybersecurity, Artificial Intelligence, Static Analysis, Behavioral Analysis, Neural Networks.

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

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