Engineering Privacy

By Sarah Spiekermann, Lorrie Faith Cranor. IEEE Transactions on Software Engineering, 2009

484 citations recorded by the source corpus.

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Privacy in the Internet of Things: threats and challenges (2014, background): “Existing approaches to preserve privacy include client-side personalization, data perturbation, obfuscation and anonymization, distribution and working on encrypted data [91, 48].”
Privacy and Data Protection by Design - from policy to engineering (2014, background): “ing (cf. Art. 5) that in particular have to be considered (cf. Chapter 3). Several researchers and data protection commissioners have published guidelines on how privacy by design could be understood [55, 183, 171, 111, 75, 197]. However, many system developers are not familiar with privacy principl”
The Third Wave?: Inclusive Privacy and Security (2017, unknown): “In addition, there are more design-oriented privacy frameworks [12, 40, 52, 57, 87].”
Ethical and privacy principles for learning analytics (2014, background): “On the technical part, there are already several proposals that take privacy into account while designing tools in a model that could be called privacy by design (Le Métayer, 2010; Spiekermann, 2009).”