THE INTEGRATION OF GDPR COMPLIANCE INTO SMART CITY DIMENSIONS: A FRAMEWORK FOR ENHANCING DATA PRIVACY AND SECURITY


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Özçağdavul M., Sayan H. H.

X-INTERNATIONAL EUROPEAN CONFERENCE ON INTERDISCIPLINARY SCIENTIFIC RESEARCH, Zürich, İsviçre, 27 - 29 Ağustos 2024, cilt.1, ss.436-445, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Zürich
  • Basıldığı Ülke: İsviçre
  • Sayfa Sayıları: ss.436-445
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet

Özet

As city around the world increasingly use smart city technologies, it is becoming increasingly crucial to ensure the privacy and security of personal data. The General Data Protection Regulation (GDPR) provides a solid foundation for data protection, which can be used to increase citizen trust and engagement in smart city initiatives. This paper provides a comprehensive framework for integrating GDPR compliance into the different dimensions of smart cities. The concept of a smart city includes six dimensions, namely mobility, environment, governance, economy, living conditions and well-being of the population. Each dimension mentioned above relies on data collection and analysis to facilitate the improvement of urban life. While the environmental dimension target to increase sustainability with the help of efficient monitoring and management of resources, the mobility dimension focuses on optimizing transport systems through real-time data, Finally, the human dimension emphasises the participation and involvement of citizens through data-driven initiatives. Applicability of GDPR can be attained by aligning relevant aspects with other vital activities like the permission management, data management and reduction, and security protocols. Smart cities' ideal coordination with the GDPR standards, in turn, fosters a public space that is secure, open, and centered around the citizens' needs. The aim of this paper is to provide practical guidelines and best practices to the governmental sector, technology specialists, and urban planners for the implementation of efficient and GDPR-compliant smart city technologies. The proposed model involves obtaining explicit and informed consent from citizens for the use of data, reducing significantly the collection and storage of personal information, and implementing both technical and institutional safeguards for data thus making data management secure and protected by the end of the day.