From the course: Privacy, Governance, and Compliance: Data Sharing
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k-Anonymity: Industry best practice
From the course: Privacy, Governance, and Compliance: Data Sharing
k-Anonymity: Industry best practice
- [Instructor] In the final view of this data, I will focus on k-anonymity value of five, since that is widely accepted as a best practice across the industry. In this table, let's focus on the column for N equal to five, which I will now highlight. As you can see, I have highlighted the column for a k-anonymity value of five. As we work our way down this column, we will see what happens to k-anonymity as we add more and more decimal points, that is make our location data more precise and therefore less private. As we have already established, the more decimal points we add, the more precise our data and therefore the more identifiable the user will be whose GPS coordinates we are looking at. And therefore the number of users who have K-anonymity value of five will go down. To start with, when we have zero decimal points, that is a courser location that for all users in our cohort we can find four others with the same…
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