论文标题
边境控制中生物识别技术数据处理的隐私和数据保护最佳实践的一个示例：从微笑中学到的课程
An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE
论文作者
论文摘要
生物识别识别是一项高度采用的技术，可支持各种应用程序，从安全性和访问控制应用程序到低执法应用程序。但是，此类系统提出了严重的隐私和数据保护问题。滥用数据，损害个人的隐私和/或授权处理数据可能是不可逆转的，并且可能对个人的隐私和数据保护权造成严重影响。这部分是由于缺乏通过设计过程中设计的数据保护和隐私整合的方法和指导。在本文中，我们提供了一个最佳实践的示例，以为数据控制者和开发人员提供有关如何遵守数据保护的法律义务的更多指导。这些隐私和数据保护最佳实践和考虑因素是基于从欧洲土地边界（Smile）项目的智能移动性中学到的经验教训。
Biometric recognition is a highly adopted technology to support different kinds of applications, ranging from security and access control applications to low enforcement applications. However, such systems raise serious privacy and data protection concerns. Misuse of data, compromising the privacy of individuals and/or authorized processing of data may be irreversible and could have severe consequences on the individual's rights to privacy and data protection. This is partly due to the lack of methods and guidance for the integration of data protection and privacy by design in the system development process. In this paper, we present an example of privacy and data protection best practices to provide more guidance for data controllers and developers on how to comply with the legal obligation for data protection. These privacy and data protection best practices and considerations are based on the lessons learned from the SMart mobILity at the European land borders (SMILE) project.
