托马斯:基于Torus的安全多因素生物识别身份验证系统
Mi Yeon Hong1, Kang Hoon Lee1, Ji Hyuk Jung1
1Graduate School of Cybersecurity, Korea University, 405, Science Library, Anamro 145, Seoul, 02841, Seoul, South Korea.
Computational and structural biotechnology journal
|December 1, 2025
概括
本研究介绍了ToMAS,一个安全的多因素生物识别身份验证系统. 它使用先进的加密和高效的计算方法在注册和身份验证期间保护用户隐私.
科学领域:
- 计算机科学 计算机科学
- 密码学 密码学 密码学 密码学
- 生物识别信息 生物识别信息
背景情况:
- 生物识别身份验证提供了方便,但存在重大隐私风险.
- 现有的系统往往缺乏对敏感生物识别数据的强大安全性.
- 越来越需要安全和保护隐私的身份验证方法.
研究的目的:
- 提出一个基于Torus的安全多因素生物识别身份验证系统 (ToMAS).
- 在生物识别登记和身份验证阶段加强隐私.
- 为大规模部署开发一种高效,可扩展的解决方案.
主要方法:
- 实施了多因素方法,结合生理特征和密码秘密.
- 使用完全同型加密 (FHE) 来对加密数据进行安全计算.
- 引入了密码文本包装和修改的引导链,以实现高效的哈明距离评估.
主要成果:
- 托马斯通过使用加密协议确保了注册和身份验证的安全.
- 将一个9600位的生物识别模板加密成一个82KB的加密文本.
- 在加密模板之间计算Hamming距离,在不到1秒的时间内,不损失准确度.
结论:
- 托马斯为生物识别身份验证提供了一个保护隐私的解决方案.
- 该系统展示了现实世界的应用程序的效率和可扩展性.
- 托马斯有效地缓解了与广泛采用生物识别相关的隐私问题.
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