Biometric Data Management in Blockchain-Based Self-Sovereign Identities
BA
State: Assigned to Justin Verhoek
Published: 2023-12-19
Description:
- With increased adaptations of digital identities across governmental services, the shift toward Self-Sovereign Identity (SSI) management is the next important improvement. However, current identity solutions (such as eID and ePassports) utilise biometric data for identity verification. The use of biometrics is still a challenge in SSI systems, with one of the papers pointed out that it leads to linkability [1]. That is, each transaction conducted by the same identity holder can be linked together, establishing a pattern of interactions and leading to its permanent record [1].
Problem:
- Use of biometrics in SSI leads to linkability, connection between each transaction and potentially a permanent record of interactions [1].
Goals:
- Investigate current use of biometrics in SSI, its purpose and benefits (why it is used).
- Investigate the security and privacy aspects of the biometric data in blockchain and SSI.
- Investigate how biometric data causes linkability between transactions.
- Design a solution / outline potential solutions for how linkability can be preserved in SSI while still using biometrics for identity verification.
- Implement a solution.
- Evaluate based on security and privacy of data, performance and costs.
References:
- G. Goodell and T. Aste, “A Decentralized Digital Identity Architecture”, Frontiers in Blockchain, 2019. DOI: 10.3389/fbloc.2019.00017.
- C. Allen, “The Path to Self-Sovereign Identity”, 2016. Available: https://www.lifewithalacrity.com/article/the-path-to-self-soverereign-identity/.
- C. Allen, “Self-Sovereign Identity: 5 Years On The Initial Design, Development, and Deployment of SSI”, 2021. Available: https://www.lifewithalacrity.com/article/SSI-5-Years-On/.
- S. Cucko, S. Becirovic, A. Kamisalic, S. Mrdovic and M. Turkanovic, “Towards the Classification of Self-Sovereign Identity Properties”, IEEE Access, 2022. DOI: https://doi.org/10.48550/arXiv.2112.04155.
20% related work, 25% design, 25% implementation, 20% evaluation, 10% documentation
Supervisors: Daria Schumm
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