A Survey of Browser Fingerprint Research and Application

Author:

Zhang Desheng1ORCID,Zhang Jianhui2ORCID,Bu Youjun23ORCID,Chen Bo2ORCID,Sun Chongxin23ORCID,Wang Tianyu1ORCID

Affiliation:

1. School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450000, China

2. Information Technology Institute, PLA Strategic Support Force Information Engineering University, Zhengzhou 450000, China

3. Purple Mountain Laboratories, Nanjing 210000, China

Abstract

With the development of modern browsing, the convenience brought by rich browser features has also produced a large number of features, which are called browser fingerprints. This article surveys the latest research results on browser fingerprinting, hoping to provide a convenient navigation for newcomers to research or apply this technology in the future. This paper first briefly introduces the browser fingerprinting technology itself, then classifies the related research on browsers, and analyzes the development of different research directions of browser fingerprinting in detail. And through the analysis of the existing results, the problems faced by different research directions are pointed out. After that, this paper introduces the application of browser fingerprint technology in detail and discusses the application achievements and technical challenges of this technology. Next, this paper introduces the theoretical tools related to the research of browser fingerprinting technology and introduces the application of different theoretical tools and practical significance. Finally, the research achievements of browser fingerprint recognition are summarized, and the future development trend is pointed out.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing the Importance of Browser Fingerprint Attributes towards User Profiling through Clustering Algorithms;2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2023-05-20

2. From Manifest V2 to V3: A Study on the Discoverability of Chrome Extensions;Lecture Notes in Computer Science;2023

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