3 ms·
You might think it's just one bit of fingerprinting information, but if 99 of 100 users click "accept" and one user clicks "decline", it's suddenly become 6.6 b
by est31 7y ago
You might think it's just one bit of fingerprinting information, but if 99 of 100 users click "accept" and one user clicks "decline", it's suddenly become 6.6 bits. Now combine that with other fingerprinting data and you have uniquely identified the user.
It's the same problem with pages where most users are logged in: the few who aren't are suddenly such a small group that they become identifiable through other means.
- jcheng 7y agoCan you explain how you got 6.6 bits?
- aDfbrtVt 7y agoBecause it uniquely describes a user within a group of 100 other people. 2^(-6.6) ~ 1/100
- user2342234 7y agoFrom Shannon's formula for information content[1]. The Idea is that the less likely an event is the more information it imparts. I = -log2(p) In this case they used p = 1/100 1 - https://en.wikipedia.org/wiki/Information_content https://en.wikipedia.org/wiki/Information_content
- marksomnian 7y agolog2(1/100)