🌟 predicting-software-vulnerabilities - Predict Software Vulnerability Trends Easily

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📖 Description

This repository contains the dataset for the paper "Predicting Software Vulnerability Trends with Multi-Recurrent Neural Networks: A Time Series Forecasting Approach," published in the Proceedings of the 1st International Conference on NLP & AI for Cyber Security (NLPAICS 2024). This software helps users understand and predict software vulnerabilities using advanced machine learning techniques.

🚀 Getting Started

To use this application, follow these simple steps. No programming knowledge is required.

📦 System Requirements

• Operating System: Windows, macOS, or Linux
• RAM: At least 4 GB
• Disk Space: At least 1 GB available
• Python: Version 3.6 or higher should be installed

🔍 Features

• Predict software vulnerabilities over time using historical data.
• Employ advanced machine learning algorithms for accurate predictions.
• User-friendly interface for easy navigation.

🔗 Download & Install

To start using the application, visit the Releases Page to download the latest version. There, you will find the necessary files. Follow the steps below to install:

1. Click on the "Releases" link above.
2. Locate the latest version of the application.
3. Download the appropriate file for your operating system.
4. Navigate to your Downloads folder.
5. Double-click the downloaded file to start the installation process.
6. Follow the on-screen instructions to complete the installation.

🛠 Usage

1. Once installed, open the application.
2. Follow the app prompts to upload your data or use the provided datasets.
3. Select your prediction parameters based on your needs.
4. Run the prediction model to generate results.

📊 How It Works

This software uses Multi-Recurrent Neural Networks (MRNs) to analyze historical software vulnerability data. It evaluates trends and produces forecasts. By using time series forecasting, it provides insights into future vulnerabilities, helping organizations make informed decisions.

🔧 Troubleshooting

If you encounter any issues:

• Ensure your software is fully updated.
• Check your internet connection for data downloads.
• Refer to the FAQ section on the Releases Page for common questions.

For further support, consider reaching out through the issues section of this repository.

🌐 Community and Support

Join our community for tips, updates, and discussions:

• GitHub Issues for direct support.
• Follow us on social media for the latest news.

📜 License

This project is licensed under the MIT License.

Remember, you can download the latest version by clicking here. Enjoy exploring and predicting software vulnerabilities!