mirror of
https://github.com/privacyguides/privacyguides.org.git
synced 2025-07-23 23:01:13 -04:00
add more info to the problem
This commit is contained in:
parent
a506f32cd0
commit
83be6545da
1 changed files with 3 additions and 1 deletions
|
@ -19,7 +19,9 @@ Is it possible to collect data from a large group of people but protect each ind
|
|||
|
||||
## Problem
|
||||
|
||||
It's useful to collect data from a large group of people. You can see trends in a population. But it requires a lot of individual people to give up personally identifiable information. Even things that seem inocuous like your gender can help identify you. 87% of Americans can be identified by three pieces of information:
|
||||
It's useful to collect data from a large group of people. You can see trends in a population. But it requires a lot of individual people to give up personally identifiable information. Even things that seem inocuous like your gender can help identify you.
|
||||
|
||||
Latanya Sweeney in a [paper](https://dataprivacylab.org/projects/identifiability/paper1.pdf) from 2000 used U.S. Census data to try and re-identify people solely based on the metrics available to her. She found that 87% of Americans could be identified based on only 3 metrics: ZIP code, date of birth, and sex.
|
||||
|
||||
## History
|
||||
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue