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Stylometrics 🎨📊

Stylometrics

Welcome to Stylometrics! This repository focuses on stylometric stenography, enabling LLM generation attribution, digital rights management (DRM), and data loss prevention (DLP). Here, you will find tools and techniques to enhance content attribution, security, and verification through various methods, including cryptography and data embedding.

Table of Contents

Introduction

Stylometrics combines linguistic analysis and steganography to create a powerful framework for ensuring the integrity and ownership of digital content. By embedding metadata and utilizing structural encoding, this project offers solutions for content creators, publishers, and researchers.

With the rise of digital media, the need for effective content attribution and security has never been more critical. Stylometrics addresses these challenges head-on, providing tools that are easy to implement and use.

Features

  • Content Attribution: Determine the authorship of a piece of text using advanced stylometric techniques.
  • Content Security: Protect your digital content from unauthorized use and distribution.
  • Content Verification: Ensure the authenticity of your content through rigorous checks.
  • Cryptography: Utilize strong encryption methods to secure your data.
  • Data Embedding: Embed information within your content without altering its appearance.
  • Data Loss Prevention: Implement strategies to prevent data breaches and loss.
  • Digital Rights Management: Manage the rights associated with your digital content.
  • Digital Watermarking: Add invisible watermarks to your content for identification.
  • Fingerprinting: Create unique identifiers for your digital assets.
  • Information Security: Protect sensitive information from unauthorized access.
  • Linguistic Steganography: Conceal information within text using linguistic methods.
  • Metadata: Manage and utilize metadata effectively for content tracking.
  • Plausible Deniability: Ensure that content can be denied without compromising security.
  • Steganography: Hide data within other data to maintain confidentiality.
  • Structural Encoding: Encode information within the structure of the content.
  • Stylometry: Analyze writing styles to uncover patterns and attributes.
  • Text Analysis: Examine text for various features and characteristics.
  • TypeScript: Built with TypeScript for improved reliability and maintainability.
  • Zero-width Characters: Use zero-width characters for hidden messages and information.

Installation

To get started with Stylometrics, you need to download the latest release. Visit the Releases section and download the appropriate file for your platform. Follow the instructions provided in the release notes to install the software.

Usage

Once you have installed Stylometrics, you can start using it to enhance your content security and attribution. Here are some basic commands to get you started:

  1. Analyzing Text: Use the command line to analyze a piece of text for its stylistic features.

    stylometrics analyze --text "Your text here"
  2. Embedding Data: Embed metadata into your content using the following command:

    stylometrics embed --file "yourfile.txt" --data "Your metadata here"
  3. Verifying Content: To verify the authenticity of your content, run:

    stylometrics verify --file "yourfile.txt"
  4. Encrypting Data: Secure your data with encryption:

    stylometrics encrypt --file "yourfile.txt" --key "your-encryption-key"
  5. Extracting Metadata: Retrieve embedded metadata from your content:

    stylometrics extract --file "yourfile.txt"

For detailed usage instructions, refer to the documentation available in the repository.

Contributing

We welcome contributions to Stylometrics! If you would like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or fix.
  3. Make your changes and commit them with clear messages.
  4. Push your branch to your forked repository.
  5. Open a pull request to the main repository.

Please ensure that your contributions align with the project's goals and maintain the quality of the codebase.

License

Stylometrics is licensed under the MIT License. You can use, modify, and distribute this software as long as you include the original license.

Contact

For questions or suggestions, please reach out via the Issues section of the repository. We appreciate your feedback and look forward to hearing from you.

Releases

To download the latest release of Stylometrics, visit the Releases section. Make sure to follow the installation instructions provided for your platform.

Conclusion

Stylometrics offers a robust framework for content attribution and security. By utilizing advanced techniques in stylometry and steganography, this project empowers users to protect their digital assets effectively. We invite you to explore the repository, contribute, and enhance the capabilities of Stylometrics.

Thank you for your interest in Stylometrics!