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开发数据收集和浏览器指纹识别系统。

The Development of a Data Collection and Browser Fingerprinting System.

机构信息

Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia.

出版信息

Sensors (Basel). 2023 Mar 13;23(6):3087. doi: 10.3390/s23063087.

Abstract

The urgent need to protect user privacy and security has emerged as the World Wide Web has become an increasingly necessary part of daily life. Browser fingerprinting is a very interesting topic in the industry of technology security. New technology will always raise new security issues and browser fingerprinting will undoubtedly follow the same process. It has become one of the most popular topics in online privacy because, to date, there is still no exact solution as to how to stop it entirely. The majority of solutions just aim to reduce the likelihood of obtaining a browser fingerprint. Research on browser fingerprinting is unquestionably required since it is essential to educate users, developers, policymakers, and law enforcement about it so that they can make strategic choices based on knowledge. Browser fingerprinting must be recognised in order to defend against privacy problems. A browser fingerprint is described as data gathered by the receiving server to identify a distant device, and it is different from cookies. Websites frequently utilize browser fingerprinting to obtain information about the type and version of the browser, as well as the operating system, and other current settings. It has been known that even when cookies are disabled, fingerprints can be used to fully or partially identify users or devices. In this communication paper, a new insight into the challenge of browser fingerprint is encouraged as a new venture. Thus, the initial way to truly understand the browser fingerprint is the need to collect browser fingerprints. In this work, the process of data collection for browser fingerprinting through scripting, to offer a complete all-in-one fingerprinting test suite, has been thoughtfully divided into appropriate sections and grouped with key information to be carried out. The objective is to gather fingerprint data with no personal identification information and make it an open source of raw datasets in the industry for any future research purposes. To our best knowledge, there are no open datasets made available for browser fingerprints in the research field. The dataset will be widely accessible by anyone interested in obtaining those data. The dataset collected will be very raw and will be in the form of a text file. Thus, the main contribution of this work is to share an open dataset of browser fingerprints along with its collection methodology.

摘要

保护用户隐私和安全的需求已经迫在眉睫,因为万维网已经成为日常生活中越来越不可或缺的一部分。浏览器指纹识别是技术安全行业中一个非常有趣的话题。新技术总会引发新的安全问题,而浏览器指纹识别无疑也会遵循同样的过程。它已经成为在线隐私领域最热门的话题之一,因为迄今为止,仍然没有确切的解决方案可以完全阻止它。大多数解决方案只是旨在降低获取浏览器指纹的可能性。对浏览器指纹识别的研究是必不可少的,因为需要向用户、开发人员、政策制定者和执法人员普及相关知识,以便他们能够基于知识做出战略选择。必须认识到浏览器指纹识别,以便防范隐私问题。浏览器指纹是指接收服务器收集的数据,用于识别远程设备,它与 cookie 不同。网站经常利用浏览器指纹识别来获取有关浏览器的类型和版本、操作系统以及其他当前设置的信息。已知即使禁用了 cookies,指纹也可以用于完全或部分识别用户或设备。在本通信论文中,鼓励将浏览器指纹挑战视为一个新的冒险。因此,真正理解浏览器指纹的最初方法是需要收集浏览器指纹。在这项工作中,通过脚本化进行浏览器指纹数据收集的过程,提供了一个完整的一站式指纹测试套件,已经被深思熟虑地划分为适当的部分,并与关键信息分组,以便进行。目的是收集没有个人身份信息的指纹数据,并将其作为行业内任何未来研究目的的开源原始数据集。据我们所知,在研究领域中没有可用的公开浏览器指纹数据集。任何有兴趣获取这些数据的人都可以广泛访问该数据集。收集到的数据集将非常原始,并且将以文本文件的形式呈现。因此,这项工作的主要贡献是分享一个带有其收集方法的浏览器指纹的开放数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6656/10057587/b4af7fb30c5d/sensors-23-03087-g001.jpg

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