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A novel privacy-preserving data sharing system based on attributed-based encryption and zero knowledge proof
Abstract
The exponential growth of digital data across various sectors, such as healthcare, finance, and e-commerce, has underscored critical concerns regarding data privacy, security, and ownership. Centralised data storage systems are inherently vulnerable to cyber-attacks, raising significant privacy risks and compliance challenges, despite regulatory frameworks like the General Data Protection Regulation (GDPR). This research introduces a decentralised, privacy-preserving data-sharing framework leveraging blockchain technology, Ciphertext-Policy Attribute-Based Encryption (CP-ABE), and Zero-Knowledge Proofs (ZKP). By employing CP-ABE, the proposed system enables fine-grained access control, ensuring that only authorised entities can access sensitive data based on specified attributes. The integration of Zero-Knowledge Proofs preserves user privacy by allowing verification of access rights without revealing the underlying attributes. The system architecture is underpinned by decentralised storage, with smart contracts managing secure access verification. Performance evaluations demonstrate that the system effectively handles dynamic policies and attribute sets, demonstrating its adaptability to real-world applications. This framework represents a significant advancement in privacy-preserving data-sharing technologies, offering a scalable and secure solution for safeguarding sensitive users’ attributes in decentralised environmentsSimilar works
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Last time updated on 14/04/2025
This paper was published in Glasgow Theses Service.
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