From the course: Privacy, Governance, and Compliance: Data Sharing
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k-Anonymity: With very granular data
From the course: Privacy, Governance, and Compliance: Data Sharing
k-Anonymity: With very granular data
- [Instructor] Let's now look at the same data through a very different lens to understand k-Anonymity even better. In the second view of this data, I will focus on very precise location data intended to provide very high quality but very little privacy. The more decimal points you have in the GPS coordinates, the more precise the location of the user will be and therefore, the more identifiable the user is. Please focus on the bottom two rows in the table. I will highlight those rows for easy access. As you can see, I've now highlighted the bottom two rows. In this case, the k-Anonymity is lower and that is because the number of users who share the same GPS location is lower. Therefore, as you go lower in the table, the k-Anonymity values are lower and decrease even further as you go from left to right. For example, when you display five GPS decimal points, 68.4% of users have a k-Anonymity value of two. That is for 68.4%…
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