Week 9 - Sensitive data

Learning goals

• Understand the importance of protecting sensitive data and ensuring privacy and confidentiality.
• Identify and evaluate established approaches and techniques for de-identifying and anonymizing data to mitigate the risk of re-identification.
• Apply the acquired techniques while utilizing an R package to quantify the information loss and utility.

Slides

• slides-09.pptx

In-class demo and exercise (Day 2)

Before class, you can go ahead and install the sdcMicro package if you choose not to use the servers.

Files - update your fork!

Demo: South Park Exercise: Whale Entanglement

Instructions are noted in the .rmd files.

Resources

1. sdcMicro Documentation: https://sdcpractice.readthedocs.io/en/latest/intro.html

2. sdcMicro Shiny app: https://sdcappdocs.readthedocs.io/en/latest/introsdcApp.html

Other useful links can be found on the slides.

Suggested readings

1. Bledsoe, E. K., Burant, J. B., Higino, G. T., Roche, D. G., Binning, S. A., Finlay, K., … & Srivastava, D. S. (2022). Data rescue: saving environmental data from extinction. Proceedings of the Royal Society B, 289(1979), https://doi.org/10.1098/rspb.2022.0938

2. Bourgault, B., Tremblay, H.; Schloss, I.R.; Plante, S. & Archambault, P. (2017). “Commercially Sensitive” Environmental Data: A Case Study of Oil Seep Claims for the Old Harry Prospect in the Gulf of St. Lawrence, Canada. Case Studies in the Environment. https://doi.org/10.1525/cse.2017.sc.454841

3. Gehrke, J., Kifer, D., Machanavajjhala, A. (2011). ℓ-Diversity. In: van Tilborg, H.C.A., Jajodia, S. (eds) Encyclopedia of Cryptography and Security. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5906-5_899

4. Samarati, P., & Sweeney, L. (1998). Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. https://dataprivacylab.org/dataprivacy/projects/kanonymity/paper3.pdf