论文标题

生物识别识别中隐私增强技术的概述

An Overview of Privacy-enhancing Technologies in Biometric Recognition

论文作者

Melzi, Pietro, Rathgeb, Christian, Tolosana, Ruben, Vera-Rodriguez, Ruben, Busch, Christoph

论文摘要

增强隐私技术是实施基本数据保护原则的技术。关于生物识别识别,已经引入了不同类型的隐私增强技术来保护储存的生物特征识别数据,这些数据通常被归类为敏感。在这方面,已经提出了各种分类法和概念分类,并进行了标准化活动。但是,这些努力主要致力于某些隐私增强技术的子类别,因此缺乏概括。这项工作概述了统一框架中生物识别技术隐私技术的概念。在每个处理步骤中,详细介绍了现有概念之间的关键方面和差异。讨论了现有方法的基本属性和局限性,并与数据保护技术和原理有关。此外,提出了评估生物识别技术的隐私增强技术的场景和方法。本文是针对生物识别数据保护领域的进入点,并针对经验丰富的研究人员和非专家。

Privacy-enhancing technologies are technologies that implement fundamental data protection principles. With respect to biometric recognition, different types of privacy-enhancing technologies have been introduced for protecting stored biometric data which are generally classified as sensitive. In this regard, various taxonomies and conceptual categorizations have been proposed and standardization activities have been carried out. However, these efforts have mainly been devoted to certain sub-categories of privacy-enhancing technologies and therefore lack generalization. This work provides an overview of concepts of privacy-enhancing technologies for biometrics in a unified framework. Key aspects and differences between existing concepts are highlighted in detail at each processing step. Fundamental properties and limitations of existing approaches are discussed and related to data protection techniques and principles. Moreover, scenarios and methods for the assessment of privacy-enhancing technologies for biometrics are presented. This paper is meant as a point of entry to the field of biometric data protection and is directed towards experienced researchers as well as non-experts.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源