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After the adoption of new data protection regulations, like GDPR, proper treatment of privacy throughout the system development lifecycle has become a must. In this paper, we discuss several aspects to more easily and effectively integrate privacy engineering in system development and how to bring the notion of privacy-by-design into practice. We propose the new W-model as a privacy-aware extension of the V-model frequently used in software engineering. One stage of the W-model deals with analyzing privacy in the system where privacy engineers conduct a privacy impact assessment in order to elicit privacy threats and to find a suitable countermeasure to remedy each threat. With respect to finding suitable countermeasures, we provide requirements the countermeasures need to meet in order to be selected. In addition, we introduce a cost function that assists privacy engineers in selecting the most suitable countermeasure. Furthermore, we point out several open issues that future work needs to address.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |