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- W3204655923 abstract "Web-based device fingerprints (also known as browser fingerprints) are designed to identify users without leaving a cookie trail. Device fingerprints are a set of different parameter values that are collected through JavaScript from a user’s web browser when they visit a website. A combination of many different parameter values makes it possible to create a unique device identifier. Unfortunately, most of the values of collected parameters change during subsequent visits to the website, which means that a new fingerprint is then created. As a result, a subsequent entry of a given user to the website is treated as a new entry. The paper presents an analysis of the data collected during a study on the variability of parameters included in the fingerprint device. The parameters studied can be classified into stable and unstable parameters on the basis of two criteria, i.e. variability and diversity of parameter values during subsequent visits. The paper offers a helpful insight into selecting appropriate values for the parameters comprising the device fingerprint." @default.
- W3204655923 created "2021-10-11" @default.
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- W3204655923 date "2021-01-01" @default.
- W3204655923 modified "2023-09-25" @default.
- W3204655923 title "Fingerprint Device Parameter Stability Analysis" @default.
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- W3204655923 doi "https://doi.org/10.1007/978-3-030-87897-9_41" @default.
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