用手写的随机数字字符串进行保护隐私的生物识别验证
概括
在手写验证中,使用随机数字字符串 (RDS) 来解决隐私问题. 我们的新模式,PAVENet with DPM,有效地验证手写,同时保护个人信息.
科学领域:
- 生物识别信息 生物识别信息
- 计算机科学 计算机科学
- 网络安全 网络安全
背景情况:
- 由于签名中的个人数据,传统的手写验证方法存在隐私风险.
- 生物识别身份验证需要强大的隐私保护解决方案.
研究的目的:
- 引入随机数字字符串 (RDS) 作为手写验证的隐私保护方法.
- 为基于RDS的身份验证开发和评估一种新的深度学习模型.
主要方法:
- 在线手写RDS的HRDS4BV数据集的构建.
- 采用歧视性模式挖矿 (DPM) 的模式注意力 VErification 网络 (PAVENet) 的建议.
- DPM模块增强了对一致和有区别的写作模式的识别,以改善风格表示.
主要成果:
- 在线RDS验证中,PAVENet在现有方法上表现优越.
- 发现了一种新的伪造现象,提供了对伪造者攻击的增强防御.
- 这项研究证实了RDS在保护隐私的生物识别验证中的有效性.
结论:
- 随机数字字符串 (RDS) 为手写验证提供了一个可行的私有替代方案.
- PAVENet和DPM显著提高了生物识别身份验证的准确性和隐私性.
- 这项研究为更广泛采用保护隐私的生物识别技术铺平了道路.
相关概念视频
01:17Wald-Wolfowitz Runs Test I
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
The test works...
01:17Wald-Wolfowitz Runs Test II
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...