Developers of US universities from the States of California and Iowa, as well as from Mozilla Corporation, offered a program to a wide audience to determine whether the browser can be tracked by its “fingerprints”.

 

For information: now standard cookies are not the only way to identify a user and track their behavior.

Currently, many sites use the so – called “fingerprint” – a set of unique information about the browser configuration and settings to identify and track the user, even with cookies disabled.

The FP-Inspector program is designed to recognize site attempts to track the browser by its “fingerprint” and block such actions.

Machine learning technologies are used in combination with dynamic and statistical analysis methods, and the program is able to identify not only existing methods, but also is able to heuristically identify previously unknown ways to track users in the browser.

 

When conducting statistical checks of the program, the developers found that various methods of tracking “fingerprints” are used to some extent in at least 10% of the most popular sites out of the first 100,000…

News resources and online stores collect the most information, and educational portals and email services collect the least information.

 

In other words, such methods are most interesting for those structures that receive the bulk of financial resources from advertising.

However, it should be noted, in fairness, that such methods are sometimes simply necessary – this applies to tracking destructive logins through different accounts of individuals, when hacking attempts, and tracking and registering both bots and sources of DDOS attacks.

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