🛡️ ByteGuard - AI-Powered Antivirus

ByteGuard is an intelligent antivirus solution built with machine learning to detect and mitigate malware threats. Using models for anomaly detection, CNN-based malware recognition, and NLP, ByteGuard protects your system by identifying and removing malicious files.

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⚙️ Features

• Anomaly Detection 📈: Detects unusual behaviors that may indicate malware.
• Malware Classification 🐍: Classifies files as malicious or safe using CNN.
• USB Anti-Malware 💽: Monitors USB drives for malicious activity.

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🧰 Tech Stack

• Python 🐍
• Machine Learning Models: CNN, NLP, and Anomaly Detection
• Libraries: TensorFlow, Sklearn, Numpy

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🚀 Getting Started

Prerequisites

• Python 3.x
• Required libraries: pip install -r requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/MohamedBoghdaddy/ByteGuard.git

2. Run the antivirus script:

   python usb_antimalware.py

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📁 Project Structure

ByteGuard/
├── usb_antimalware.py         # Main script for USB protection
├── anomaly_detection_model.pkl # Anomaly detection model
├── malware_cnn.h5             # CNN model for malware detection
├── nlp_malware_model.pkl      # NLP model for text-based malware analysis
└── README.md

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📝 License

This project is licensed under the MIT License.

Stay protected! 🛡️