关键词: 浏览器指纹, 静态匹配, 相似度, 渐变指纹

Abstract: In recent years, related studies have put forward methods of obtaining and identifying browser fingerprint. Some website can use dynamic code embedded in the pages to collect browser fingerprint information of the user, including system font setting, display setting, browser version information, etc. However, since the browser fingerprint will be changed when the user upgrades some components of the browser, the method based on static string matching can hardly identify the changed fingerprints. To solve this problem, this paper proposes a new method to identify changed fingerprint based on matching string’s similarity. According to the similarity of the fingerprint, the method can decide whether the collected browser fingerprint is the changed fingerprint or the new one. Based on the proposed method, a website is implemented for collecting and identifying the visitors’ browser fingerprint. The experimental results show that the method can effectively identify the browser’s changed fingerprint so as to improve the recognition rate of returning visit.

Key words: browser fingerprint, static string matching, similarity, changed fingerprint