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Data Protection by Design in the Context of Smart Cities: A Consent and Access Control Proposal
Said Daoudagh1, Eda Marchetti1, Vincenzo Savarino2
1CNR-ISTI, 56124 Pisa, Italy.
Smart cities collect vast personal data, risking privacy. This study introduces an infrastructure using attribute-based credentials and GDPR compliance for secure, user-controlled data management, ensuring privacy and unlinkability.
Area of Science:
- Computer Science
- Information Security
- Urban Studies
Background:
- Mobile devices fuel smart city growth, increasing personal data sharing.
- Inadequate data management poses significant security and privacy risks.
Purpose of the Study:
- To propose a smart city infrastructure for privacy-preserving identity management.
- To ensure GDPR compliance in smart city data handling.
- To enable user-centric control over personal data and consent.
Main Methods:
- Integration of a distributed privacy-preserving identity management solution using attribute-based credentials (p-ABC).
- Implementation of a user-centric Consent Manager.
- Adoption of a GDPR-based Access Control mechanism.
Main Results:
- The infrastructure supports specific data purposes, collection, access control, and user consent.
- Achieved selective and minimal disclosure of personal information.
- Ensured user unlinkability across service and identity providers.
Conclusions:
- The proposed smart city infrastructure is feasible and effective.
- Demonstrated successful integration and evaluation in a real-world smart city project (MiMurcia).
- The system enhances security, privacy, and GDPR compliance in smart cities.
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