一种云上的高效生物隐私保护协议
An Efficient Biometric Identification Privacy Protection Protocol on the Cloud
DOI: 10.12677/CSA.2023.139163, PDF,   
作者: 吴 铎：青岛大学计算机科学技术学院，山东 青岛
关键词: 生物隐私保护；安全外包；最近邻居；Biological Privacy Protection； Security Outsourcing； Nearest Neighbor
摘要: 由于生物识别的可靠性和便捷性，这项技术已经成为一种重要且可靠的识别技术，常被用于身份验证。但生物特征数据具有很高的敏感性，因此，在隐私保护生物识别协议中，安全性便成为了一大挑战。现存的大多数协议都存在效率低下或者安全级别低的问题，从而限制了他们在实践中的广泛应用。为了提高安全性和效率，本文提出了一种新的隐私保护生物识别协议。新的协议对原始的生物数据库进行了预处理操作，使得上传到云服务器上的密文操作的对象大大减少，即算法匹配操作只需要在最近邻候选者之间进行，进一步提高了效率，并且，我们的新协议在大型数据库上也有很好的表现，具有更高的现实意义。
Abstract: Due to the reliability and convenience of biometrics, this technology has become an important and reliable identification technology, which is often used for identity verification. However, biometric data is highly sensitive, so security becomes a major challenge in privacy-protecting biometric pro-tocols. Most existing protocols are inefficient or have low security levels, which limits their wide-spread use in practice. In order to improve security and efficiency, this paper proposes a new privacy protection biometric protocol. The new protocol performs pre-processing operations on the original biological database, greatly reducing the objects of ciphertext operations uploaded to the cloud server, that is, the algorithm matching operation only needs to be carried out between the nearest candidates, further improving the efficiency. In addition, our new protocol also has good performance on large databases, and has higher practical significance.
文章引用：吴铎. 一种云上的高效生物隐私保护协议[J]. 计算机科学与应用, 2023, 13(9): 1641-1654. https://doi.org/10.12677/CSA.2023.139163

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