COMBINED METHOD FOR PROTECTING USER PRIVACY WHEN USING A WEB BROWSER
DOI:
https://doi.org/10.26906/SUNZ.2023.3.103Keywords:
security, confidentiality, web browser, digital fingerprint, cookie, fingerprint, web trackerAbstract
The article examines the issue of digital tracking, which allows users to be identified using cookies and digital fingerprints. A comparative analysis of current web tracking methods shows that approaches based on detecting and blocking web trackers are less effective than methods using value substitution. These approaches do not protect against passive fingerprinting techniques and are easily detected, making them vulnerable to user identification. To solve this problem, a hybrid method of forging transmitted data is proposed, including random generation and data fusion, as well as detecting trackers for immediate protection. Attributes with a wide range of possible values and complex compatibility are proposed to be replaced by real values with minor distortions.Downloads
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References
Sanchez-Rola I., Santos I. Knockin’ on Trackers’ Door: LargeScale Automatic Analysis of Web Tracking. In: Giuffrida, C., Bardin, S., Blanc, G. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2018. Lecture Notes in Computer Science, vol. 10885. Springer. doi:10.1007/978-3-319-93411-2_13
Gebhart G., Cyphers B. Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance / Electronic Frontier Foundation. URL: https://www.eff.org/wp/behind-the-one-waymirror
Laperdrix P., Rudametkin W., Baudry B. Beauty and the Beast: Diverting Modern Web Browsers to Build Unique Browser Fingerprints // Materials 2016 IEEE Symposium on Security and Privacy (SP). C. 878-894, doi:10.1109/SP.2016.57
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Published
2023-09-15
Issue
Section
Information Technology
