Collaborative Data Anonymization Framework With Energy Industry

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Abstract
Data anonymization is essential for data privacy, enabling organizations, especially in the energy sector with IoT data, to comply with regulations while using sensitive information. Despite many existing anonymization methods and tools, it lacks clarity on integrating these tools into a complete process and ensuring effective collaboration with data providers. To overcome these gaps, this paper proposes a collaborative data anonymization framework that efficiently chains open-source tools to streamline the process and improve data provider involvement. The findings indicates while these tools can detect sensitive information and generate anonymizeddata, there are still limitations in metadata detection.
Funding Information
  • Deutsche Forschungsgemeinschaft (501865131)

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