Privacy-Enhanced One-to-Many Biometric System Using Smart Contracts: A New Framework

Wells, Alec; Dajnowski, Norbert; Usman, Aminu Bello; Murray, John and Barakat, Basel. 2024. 'Privacy-Enhanced One-to-Many Biometric System Using Smart Contracts: A New Framework'. In: 2024 29th International Conference on Automation and Computing (ICAC). Sunderland, United Kingdom 28 - 30 August 2024. [Conference or Workshop Item]
Copy

This paper presents a novel framework for one-to-many biometric systems by adapting decentralised storage over a centralised database solution, by leveraging smart contracts to address the concerns commonly associated with decentralised solutions. Smart contracts enforce strict privacy controls, enabling individuals to retain ownership and control over their biometric data on decentralised networks, while facilitating secure and efficient authentication, helping achieve the principles laid out by privacy by design. Biometric systems play a crucial role in identity verification and access control, but their deployment raises significant privacy challenges due to the sensitive nature of biometric data. Traditional approaches often involve centralised storage of biometric information, increasing the risk of data breaches and unauthorised access. We discuss the architecture, implementation, and benefits of our framework, highlighting its potential to enhance privacy and trust in one-to-many biometric systems across various applications.


picture_as_pdf
Privacy-Enhanced_One-to-Many_Biometric_System_Using_Smart_Contracts_A_New_Framework.pdf
subject
Accepted Version

View Download

Atom BibTeX OpenURL ContextObject in Span OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL Data Cite XML EndNote HTML Citation METS MODS RIOXX2 XML Reference Manager Refer ASCII Citation
Export

Downloads