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ConTra Preference Language: Privacy Preference Unification via Privacy Interfaces.
1Chair for Distributed Information Systems, Faculty of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany.
Sensors (Basel, Switzerland)
|July 27, 2022
Summary
The General Data Protection Regulation (GDPR) requires companies to manage privacy effectively. This study introduces ConTra, a novel preference language to enhance user understanding and negotiation of privacy policies, especially in IoT environments.
Area of Science:
- Computer Science
- Law and Technology
Background:
- The General Data Protection Regulation (GDPR) enacted in 2018 mandated significant changes in corporate privacy management.
- Companies often overlook user understanding of privacy, hindering legitimate interest generation.
- Existing privacy preference languages lack interoperability, limiting their practical application.
Purpose of the Study:
- To propose the ConTra preference language for user-driven privacy policy negotiation.
- To enhance user comprehension of privacy handling and meet GDPR requirements.
- To address the limitations of current privacy preference languages.
Main Methods:
- Development of the ConTra preference language, focusing on expressiveness, extensibility, and applicability.
- Definition of ConTra preferences for privacy handling rules.
- Introduction of a generic approach for unified preference matching and privacy language compatibility.
Main Results:
- ConTra preferences demonstrate expressiveness and extensibility for privacy management.
- The language is applicable in resource-limited Internet of Things (IoT) scenarios.
- A generic approach enables compatibility across different privacy languages for unified matching.
Conclusions:
- ConTra offers a viable solution for user-centric privacy policy negotiation under GDPR.
- The proposed approach enhances interoperability between preference languages.
- Improved user understanding of privacy is crucial for controllers and can be facilitated by such tools.
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