🛡️ XinMalwareScanner

XinMalwareScanner is a machine learning–based malware detection system designed specifically for Windows environments.
The goal is to reduce human intervention by leveraging intelligent classification and automated feedback mechanisms.

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🎯 Project Aim

To create a machine learning-based malware detection system that prioritizes file-based malware identification and classification in order to increase detection accuracy and decrease the need for human intervention.

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🎯 Project Objectives

1. To create a machine learning model that, in place of conventional signature-based techniques, can identify file-based malware.

2. To create a system that uses file behavior and characteristics to evaluate and classify malware.

3. To optimize the model for improved accuracy, aiming to achieve:

   • 🎯 Precision: ≥ 85%
   • 🎯 F1-Score: ≥ 85%
   • 🎯 ROC-AUC Score: > 85%
   • 🎯 Overall Detection Accuracy: > 80%

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🧠 Overview

XinMalwareScanner uses a multi-model ensemble approach to detect malicious files based on static features.
The system integrates automatic feature extraction, model evaluation, and continuous learning from false positives and negatives — making it resilient and adaptable to evolving malware.

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⚙️ Key Features

• 🗂️ Scan Files or Folders — Analyze files in bulk or individually for potential threats.

• 📄 Generate Scan Reports — Get clear classification: Safe, Infected, or Unknown.

• 🚨 User Feedback System — Report incorrect classifications to improve model performance.

• 🌙 Dark Mode Support — Easy on the eyes for extended use.

• 📦 Model Upload & Reset — Load new or reset existing machine learning models as needed.

• 🔁 Automatic Feedback Loop — Learns from user input to adapt and become smarter over time.

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🛠️ Technologies Used

• Python 3
• scikit-learn
• TensorFlow & Keras
• pandas, NumPy
• matplotlib / seaborn (for visualizations)
• joblib (model persistence)
• ParrotOS (for experimentation and testing)

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📊 Evaluation

[Classification Report]
              precision    recall  f1-score   support

           0       0.99      0.98      0.98      3557
           1       0.96      0.98      0.97      1569

    accuracy                           0.98      5126
   macro avg       0.97      0.98      0.98      5126
weighted avg       0.98      0.98      0.98      5126

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🚀 How to Run

Prerequisites

• Python

Setup

1. Clone the repository:

git clone https://github.com/X1nQing/XinMalwareScanner.git
cd Code_Final

2. Install dependencies:

pip install -r requirements.txt

3. Run the Scanner:

python main.py

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📦 Libraries Python Required:

Already defined in requirements.txt:

tensorflow
keras
ttkbootstrap
pandas
numpy
psutil
matplotlib
seaborn
pefile
Pillow
scikit-learn

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🎥 Demo Video

Youtube

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⚠️ Disclaimer

This tool is developed strictly for academic and research purposes. It should not be used in production environments or as a replacement for enterprise-grade antivirus software. Always scan suspicious files using trusted tools before running them.

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📬 Contact

Created by X1nQing