Analysis of applications and challenges facing blockchain technology in the field of General Data Protection Regulations (GDPR)

Subject Areas : Information Technology in Engineering Design (ITED) Journal

Mahdi Seyedhashemi ¹ , Hassan Shakeri ^{2 *} , Abouzar Arabsorkhi ³ , رحیم خانی‌زاد ⁴

1 - Department of Computer Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran
2 - Department of Computer Engineering, Mashhad branch, Islamic Azad University, Mashhad, Iran
3 - Communication and Information Technology Research Institute, Tehran, Iran
4 - دانشکده مدیریت، اقتصاد و فناوری پیشرفت، دانشگاه علم و صنعت

Received: 2024-07-27 Accepted : 2024-11-24 Published : 2025-07-05

Keywords: Blockchain, GDPR, Data Protection Requirements,

Abstract :

The growth of the use of emerging technologies in various industries and the increase in the volume and speed of data production and dissemination have increased concerns in the field of personal data protection. Governments and legislative bodies have developed laws to protect users' privacy, including GDPR, which was developed by the European Union and imposes responsibilities and duties on organizations, businesses and regulatory bodies to protect users' personal data. Among emerging technologies, blockchain has attracted much attention in the field of privacy protection and GDPR. Blockchain provides innovative solutions in the field of data protection due to its traceability, transparency and security. On the other hand, blockchain's distributed architecture, immutability, and non-minimization of storage space have created challenges in the field of compliance of this technology with GDPR requirements. In this article, we examine the compliance of blockchain technology with the framework of these laws from two architectural and functional perspectives, and a partial verification of the facilitating and inhibiting features of this technology with the aforementioned laws, and a number of solutions provided to remove the inhibition of this technology in complying with GDPR, including storage We have analyzed the data off-chain and the use of hashing functions.

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