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Data Protection by Design Tool for Automated GDPR Compliance Verification Based on Semantically Modeled Informed

Tek Raj Chhetri1, Anelia Kurteva1, Rance J DeLong2

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Summary
This summary is machine-generated.

This study introduces a scalable tool for automated GDPR compliance verification. It uses a knowledge graph and a regulation-to-code process to ensure data protection by design, aiding auditability.

Keywords:
GDPRcompliance verificationdata protection by designdata sharingdistributed systemsinformed consentknowledge graphprivacystandard data protection model

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Area of Science:

  • Computer Science
  • Information Science
  • Law

Background:

  • The General Data Protection Regulation (GDPR) enforcement in May 2018 introduced significant data protection challenges for organizations.
  • Complexities in consent management and the need for large-scale compliance verification pose hurdles.
  • GDPR's emphasis on data protection by design and interoperability necessitates system redesign.

Purpose of the Study:

  • To present a scalable tool for automated compliance verification and auditability under GDPR.
  • To address the technical challenges of implementing data protection by design principles.
  • To facilitate GDPR compliance through informed consent modeling.

Main Methods:

  • Development of a data protection by design tool utilizing a knowledge graph for informed consent modeling.
  • Implementation of a regulation-to-code process to translate GDPR requirements into software code.
  • Demonstration of the tool's effectiveness in the insurance and smart cities sectors.

Main Results:

  • The tool enables automated compliance verification and enhances auditability for GDPR.
  • The knowledge graph model effectively represents complex consent scenarios.
  • The regulation-to-code approach streamlines the translation of legal requirements into technical measures.

Conclusions:

  • The presented tool offers a scalable solution for automated GDPR compliance.
  • The approach supports data protection by design and can be adapted to various domains.
  • Automated verification and auditability are crucial for modern data protection frameworks.