Description
The Anonymization Decision Support is a comprehensive service designed to help data owners and researchers select the most appropriate data anonymization technologies based on their specific requirements.
Developed from extensive research and prototyping efforts, this service integrates various privacy-enhancing technologies, including data anonymization techniques, synthetic data generation, and secure multi-party computation.
Users can access a robust toolbox of applications, plugin libraries, and hardware IP cores built in widely-used programming languages like C and Python. This service is ideal for users looking to implement privacy solutions across different environments. It provides detailed risk assessments and analysis, ensuring that anonymization decisions align with goals such as data utility, security, risk of re-identification, and performance.
The service offers tailored recommendations on anonymization strategies based on data characteristics like volume, sensitivity, and security environments, as well as applicable legislative frameworks. With features like automation and computer-aided design space exploration, users can confidently select the best anonymization approach for their specific use cases.
Experimentation
The Anonymization Decision Support service is hosted on the InnoHub platform, accessible through any standard web browser. Users can receive comprehensive risk assessments and recommendations without needing to upload identifiable data to external servers, maintaining data privacy throughout the process.
Additionally, the service will be integrated with existing anonymization tools, offering a more seamless and consistent user experience across platforms. This ensures users have a unified, streamlined approach to making anonymization decisions.
By offering tailored insights into potential anonymization risks and techniques, the Anonymization Decision Support Service enables organizations to protect sensitive data while ensuring it remains useful for research and operational purposes.