What a coincidence, I’m an architect in an adtech company!
So, IPs can and are shared. For example because there’s hardly enough for every device connected. And yes, I used to live in a village where everyone had the same IP. But that’s beyond the point, every device on your home network has the same IP and ad companies don’t really want to have bad data about you, which would happen if anyone actually used IP for tracking.
Some values might change, like IPs for instance, but never at the same time.
To make it simple, like the famous Akinator, say you only need 10 values to identify someone with 100% certainty. Store 15 of them, and by the time one of them changes, you still have 14 values to identify with 100% certainty the user. You can then update your pool of data for this particular user.
Being an architect doesn’t mean you understand the codebase.
By the way, having 1000 people’s IP changing at the exact same time makes it even easier for fingerprinting, because you only have to get one user’s location to get the 999 others.
For example because there’s hardly enough for every device connected
There are 4,294,967,296 IPv4 address (232) and 340,282,366,920,938,463,463,374,607,431,768,211,456 IPv6 addresses (2128)
Well, if that’s how you use your data, I wouldn’t really want to be the one doing any kind of analysis on it. And I certainly wouldn’t want to pay for that as your customer.
Next time, try to argue with actual facts. I know it’s harder than just pretending, like every what-a-conincidence-I-work-in-the-same-area-as-you dudes…
What a coincidence, I’m an architect in an adtech company!
So, IPs can and are shared. For example because there’s hardly enough for every device connected. And yes, I used to live in a village where everyone had the same IP. But that’s beyond the point, every device on your home network has the same IP and ad companies don’t really want to have bad data about you, which would happen if anyone actually used IP for tracking.
I thought the way fingerprinting works is to try to get a bunch of semi-personal information, which together can identify a single person?
Like there’s plenty of people using a 1920x1080p display. Doesn’t stop companies from using that as part of their fingerprinting.
Sure, your entire town might share an IP. That just means you’ve narrowed your search field from the entire world to one town.
This is exactly how fingerprinting works.
By crossing enough data.
Some values might change, like IPs for instance, but never at the same time.
To make it simple, like the famous Akinator, say you only need 10 values to identify someone with 100% certainty. Store 15 of them, and by the time one of them changes, you still have 14 values to identify with 100% certainty the user. You can then update your pool of data for this particular user.
Being an architect doesn’t mean you understand the codebase.
By the way, having 1000 people’s IP changing at the exact same time makes it even easier for fingerprinting, because you only have to get one user’s location to get the 999 others.
There are 4,294,967,296 IPv4 address (232) and 340,282,366,920,938,463,463,374,607,431,768,211,456 IPv6 addresses (2128)
So… yeah… sure…
Well, if that’s how you use your data, I wouldn’t really want to be the one doing any kind of analysis on it. And I certainly wouldn’t want to pay for that as your customer.
Fortunately, I don’t have to work with “architects”, I work with developers.
Lucky you, just making stuff up as you go without having someone think about the bigger picture! Seems to work well so far.
Anyway, blocking you, got kinda tired of this.
Next time, try to argue with actual facts. I know it’s harder than just pretending, like every what-a-conincidence-I-work-in-the-same-area-as-you dudes…