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ENISA数据保护工程报告(英)-42页

# 数据保护工程 大小:1.00M | 页数:42 | 上架时间:2022-02-08 | 语言:英文

ENISA数据保护工程报告(英)-42页.pdf

ENISA数据保护工程报告(英)-42页.pdf

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类型: 专题

上传者: ZF报告分享

撰写机构: ENISA

出版日期: 2022-02-07

摘要:

The evolution of technology has brought forward new techniques to share, process and store data. This has generated new models of data (including personal data) processing, but also introduced new threats and challenges. Some of the evolving privacy and data protection challenges associated with emerging technologies and applications include: lack of control and transparency, possible reusability of data, data inference and re-identification, profiling and automated decision making.

The implementation of the GDPR data protection principles in such contexts is challenging as they cannot be implemented in the traditional, “intuitive” way. Processing operations must be rethought, sometimes radically (similar to how radical the threats are), possibly with the definition of new actors and responsibilities, and with a prominent role for technology as an element of guarantee. Safeguards must be integrated into the processing with technical and organisational measures. From the technical side, the challenge is to translate these principles into tangible requirements and specifications by requirements by selecting, implementing and configuring appropriate technical and organizational measures and techniques Data Protection Engineering can be perceived as part of data protection by Design and by Default. It aims to support the selection, deployment and configuration of appropriate technical and organizational measures in order to satisfy specific data protection principles. Undeniably it depends on the measure, the context and the application and eventually it contributes to the protection of data subjects’ rights and freedoms.

The current report took a broader look into data protection engineering with a view to support practitioners and organizations with practical implementation of technical aspects of data protection by design and by default. Towards this direction this report presents existing (security) technologies and techniques and discusses possible strengths and applicability in relation to meeting data protection principles as set out in Article 5 GDPR.

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