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A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR.

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This summary is machine-generated.

This study introduces a blockchain-based dynamic consent system for managing personal data. It empowers individuals to control data usage and privacy, ensuring accountability and traceability.

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Area of Science:

  • Computer Science
  • Information Security
  • Data Privacy

Background:

  • Growing concerns over the massive collection and use of sensitive personal data by various entities.
  • Limited existing solutions empower individuals to systematically manage consent and control data access and usage.
  • The need for robust mechanisms to ensure privacy rights and data security in the digital age.

Purpose of the Study:

  • To propose and evaluate a smart-contract-based dynamic consent management system for personal data.
  • To enhance user control over data collection, access, and usage throughout the data lifecycle.
  • To ensure compliance with regulations like the General Data Protection Regulation (GDPR).

Main Methods:

  • Development of a user-centric dynamic consent management system utilizing blockchain technology and smart contracts.
  • Implementation of a prototype system to demonstrate feasibility.
  • Assessment of system acceptability and reliability through experimental testing and validation.
  • Analysis of system security, privacy, and performance.

Main Results:

  • A functional prototype of the dynamic consent management system was successfully developed.
  • Experimental testing validated the system's acceptability and reliability.
  • The system provides tamper-proof data provenance, accountability, and traceability via blockchain.
  • Security and privacy analyses confirmed the system's robustness.

Conclusions:

  • The proposed blockchain-based dynamic consent management system effectively empowers individuals to control their personal data.
  • The system offers a secure, transparent, and accountable solution for managing data usage consent.
  • It presents a feasible and reliable approach to enhancing data privacy and security in compliance with regulations.