Digital Fingerprinting: Google launched a new era of tracking worse than cookie banners | Tuta
JackAttack @ JackAttack @lemmy.dbzer0.com Posts 8Comments 87Joined 7 mo. ago

JackAttack @ JackAttack @lemmy.dbzer0.com
Posts
8
Comments
87
Joined
7 mo. ago
So from what I understand, theres 2 common ways that browsers combat this. Someone add to or correct me if I'm wrong.
Ex: Everyone wearing black pants and hoodies with the facemasks. Extremely hard to tell who is who.
Ex: look like a dog in one place, a cat in another place. They get data for a dog but that doesn't help build anything if the rest of the data is a cat, hamster, whatever. No way to piece it together to be useful.
In both my examples, there are caveats. Just because everyone dressed the same doesn't mean someone isn't taller or shorter, or skinnier or fatter. There can still be tells to help narrow down. Or a cat that barks like a dog suddenly is more linkable to a dog if that makes sense lol.
In other words it still depends user behavior that can contribute to the effectiveness of these tools.
EDIT: got distracted. To answer your question I don't think so. I think it's more about user behavior blending in or being randomized. I think the only thing an extension would be able to do is possibly randomize the data but I'm unsure of such an extension yet. These aren't the only options, these are just ones I've read about recently. Online behavior, browswr window size, and I'm sure so much more also goes into it. But every little bit helps and is better than nothing.
EDIT2: Added examples for each for clarity.