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Auflistung nach Schlagwort "data protection impact assessment"

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  • Zeitschriftenartikel
    DPMF: A Modeling Framework for Data Protection by Design
    (Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 10, 2020) Sion, Laurens; Dewitte, Pierre; Van Landuyt, Dimitri; Wuyts, Kim; Valcke, Peggy; Joosen, Wouter
    Building software-intensive systems that respect the fundamental rights to privacy and data protection requires explicitly addressing data protection issues at the early development stages. Data Protection by Design (DPbD)—as coined by Article 25(1) of the General Data Protection Regulation (GDPR)—therefore calls for an iterative approach based on (i) the notion of risk to data subjects, (ii) a close collaboration between the involved stakeholders and (iii) accountable decision-making. In practice, however, the legal reasoning behind DPbD is often conducted on the basis of informal system descriptions that lack systematicity and reproducibility. This affects the quality of Data Protection Impact Assessments (DPIA)—i.e. the concrete manifestation of DPbD at the organizational level. This is a major stumbling block when it comes to conducting a comprehensive and durable assessment of the risks that takes both the legal and technical complexities into account. In this article, we present DPMF, a data protection modeling framework that allows for a comprehensive and accurate description of the data processing operations in terms of the key concepts used in the GDPR. The proposed modeling approach supports the automation of a number of legal reasonings and compliance assessments (e.g., purpose compatibility) that are commonly addressed in a DPIA exercise and this support is strongly rooted upon the system description models. The DPMF is supported in a prototype modeling tool and its practical applicability is validated in the context of a realistic e-health system for a number of complementary development scenarios.
  • Konferenzbeitrag
    Emerging biometric modalities and their use: Loopholes in the terminology of the GDPR and resulting privacy risks
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Bisztray, Tamás; Gruschka, Nils; Bourlai, Thirimachos; Fritsch, Lothar
    Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data protection regulation, classification applications using biometric data receive less protection compared to biometric recognition. We analyse preconditions in the regulatory language and explore how this has the potential to be the source of unique privacy risks for processing operations classifying individuals based on soft traits like emotions. This can have high impact on personal freedoms and human rights and, therefore, should be subject to data protection impact assessment.