A classification of web browser fingerprinting techniques
A classification of web browser fingerprinting techniques
复制标题
网络浏览器指纹识别技术的分类
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
A. Matrawy
中科院分区：
文献类型：
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作者：
Randika Upathilake;Yingkun Li;A. Matrawy
随着万维网日益成为日常生活中的必需品，保护用户隐私和安全的迫切需要变得显而易见。在用户意识到浏览器cookie可以允许网站在未经许可或通知的情况下跟踪他们的行为后，许多人选择拒绝cookie以保护他们的隐私。然而，最近，对web浏览器进行指纹识别的方法已经变得越来越普遍。在本文中，我们将Web浏览器指纹分为四个主要类别：（1）特定于浏览器，（2）画布，（3）JavaScript引擎和（4）跨浏览器。然后，我们总结了隐私和安全的影响，讨论了商业指纹技术，最后提出了一些检测和预防方法。
As the World Wide Web has increasingly become a necessity in daily life, the acute need to safeguard user privacy and security has become manifestly apparent. After users realized that browser cookies could allow websites to track their actions without permission or notification, many have chosen to reject cookies in order to protect their privacy. However, more recently, methods of fingerprinting a web browser have become an increasingly common practice. In this paper, we classify web browser fingerprinting into four main categories: (1) Browser Specific, (2) Canvas, (3) JavaScript Engine, and (4) Cross-browser. We then summarize the privacy and security implications, discuss commercial fingerprinting techniques, and finally present some detection and prevention methods.