论文标题
基于DLT的Covid-19护照的框架
Framework for a DLT Based COVID-19 Passport
论文作者
论文摘要
独特地识别每天与他们相互作用的各个网络中的个人仍然是我们所生活的数字世界的挑战，因此，开发安全有效的隐私保护身份机制已成为重要的研究领域。此外，分散的决策网络（例如比特币）的普及人们对利用分布式账本技术来存储和安全地传播最终用户身份证书具有很大的兴趣。在本文中，我们描述了一种机制，该机制允许人们在公共可读，分散，不可分割的区块链上存储个人的疫苗接种细节，并利用两因素身份验证系统，该系统采用生物识别加密哈希技术来为每个用户生成唯一的标识符。我们的主要贡献是在虹膜提取技术上使用可证明安全的输入隐藏，对区域敏感的哈希算法，该算法可用于对用户进行身份验证并在区块链上匿名找到疫苗接种记录，而无需向区块链泄漏任何个人身份信息。
Uniquely identifying individuals across the various networks they interact with on a daily basis remains a challenge for the digital world that we live in, and therefore the development of secure and efficient privacy preserving identity mechanisms has become an important field of research. In addition, the popularity of decentralised decision making networks such as Bitcoin has seen a huge interest in making use of distributed ledger technology to store and securely disseminate end user identity credentials. In this paper we describe a mechanism that allows one to store the COVID-19 vaccination details of individuals on a publicly readable, decentralised, immutable blockchain, and makes use of a two-factor authentication system that employs biometric cryptographic hashing techniques to generate a unique identifier for each user. Our main contribution is the employment of a provably secure input-hiding, locality-sensitive hashing algorithm over an iris extraction technique, that can be used to authenticate users and anonymously locate vaccination records on the blockchain, without leaking any personally identifiable information to the blockchain.
