Wells, Alec, Dajnowski, Norbert, Usman, Aminu ORCID: https://orcid.org/0000-0002-4973-3585, 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). IEEE, pp. 1-6

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Abstract

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.

Item Type:	Book Section
Status:	Published
DOI:	10.1109/ICAC61394.2024.10718794
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/11671

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