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Evidence-Based Methods for Privacy and Identity Management

Abstract : In the advent of authoritative experiments and evidence-based methods in security research [2, 4, 21, 29], we are convinced that privacy and identity research will benefit from the scientific method, as well. This workshop offers an introduction to selected tools of experiment design and systematic analysis. It includes key ingredients of evidence-based methods: hallmarks of sound experimentation, templates for the design of true experiments, and inferential statistics with sound power analysis. To gauge the state of play, we include a systematic literature review of the pre-proceedings of the 2016 IFIP Summer school on Privacy and Identity Management as well as the participants’ feedback on their perception on evidence-based methods. Finally, we make our case for the endorsement of evidence-based methods in privacy and identity management.
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https://hal.inria.fr/hal-01629157
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Kovila Coopamootoo, Thomas Groß. Evidence-Based Methods for Privacy and Identity Management. Anja Lehmann; Diane Whitehouse; Simone Fischer-Hübner; Lothar Fritsch; Charles Raab. Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers, AICT-498, Springer International Publishing, pp.105-121, 2016, IFIP Advances in Information and Communication Technology, 978-3-319-55782-3. ⟨10.1007/978-3-319-55783-0_9⟩. ⟨hal-01629157⟩

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