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.
翻译:生物计量识别是一种高度采用的技术,用于支持从安全和出入控制应用到低执法应用等各种应用,但这类系统引起了严重的隐私和数据保护问题;滥用数据、损害个人隐私和(或)经授权处理数据可能是不可逆转的,可能对个人的隐私权和数据保护产生严重影响;部分原因是缺乏将数据保护和隐私纳入系统开发过程的方法和指导;在本文件中,我们举了一个隐私和数据保护最佳做法的例子,为数据控制者和开发者提供如何遵守数据保护法律义务的更多指导;这些隐私和数据保护最佳做法和考虑因素依据的是欧洲陆地边界Smart 聚居项目的经验教训。