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]
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Abstract or Description
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: |
Conference or Workshop Item (Paper) |
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Additional Information: |
“© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
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Keywords: |
Authentication, biometric, blockchain, decentralisation, smart contract |
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Dates: |
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Event Location: |
Sunderland, United Kingdom |
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Date range: |
28 - 30 August 2024 |
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Item ID: |
38173 |
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Date Deposited: |
31 Jan 2025 10:54 |
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Last Modified: |
31 Jan 2025 11:44 |
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