From the course: Privacy, Governance, and Compliance: Data Sharing
Join today to access over 25,300 courses taught by industry experts.
k-Anonymity: A use case
From the course: Privacy, Governance, and Compliance: Data Sharing
k-Anonymity: A use case
- [Instructor] In order to see k-Anonymity in action, I had one of my colleagues run an experiment of 40,000 rides in the city of Boston. I discussed this at length during my talk at the QCon Engineering Conference in San Francisco in 2019 where I spoke on behalf of my current employer. The link to that talk is on this slide. The goal was to get a sense of how we can reduce the uniqueness of each ride by coarsening the data. In this case, we chose to coarsen location data by changing the number of GPS points on the location data itself. Remember, this was not an exhaustive study, so you may get different outcomes for your samples.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.