A Recognition Method for Gradually-Changed Browser Fingerprints

DOI

10.2991/meici-18.2018.208How to use a DOI?

Keywords

Browser fingerprint; Static matching; Similarity degree; Gradient fingerprint

Abstract

In recent years, there have been a lot of research on obtaining browser fingerprint and browser fingerprint recognition. Generally, websites use dynamic code embedded in web pages to obtain user display configuration information, system font setting information, browser version and other information, collectively referred to as browser fingerprint information. The fingerprint information of the browser will change with the change of the user’s online behavior, so it is impossible to deal with the problem of identifying the same user’s browser fingerprint when the fingerprint changes completely by using static identification method. Therefore, this paper proposed a gradually-changed browser fingerprint recognition method. Based on the calculation of character string similarity matching, this method calculated the similarity between browser fingerprint information acquired at different times, and judged whether the two browser fingerprints belong to the same user. Experimental results showed that the proposed method significantly improved the recognition rate of the return visit users, thus verifying the effectiveness of the method.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Meilin Zeng
AU  - Qiangqiang Xiong
PY  - 2018/12
DA  - 2018/12
TI  - A Recognition Method for Gradually-Changed Browser Fingerprints
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 1038
EP  - 1044
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.208
DO  - 10.2991/meici-18.2018.208
ID  - Zeng2018/12
ER  -