Abstract
The research on the identification of network users has been continuous, and methods and algorithms emerge in endlessly. Of course, it solves the problem that it is difficult to identify the identity of network interactive users. Yet, user identification raises questions about user privacy. In the last paper [[, we proposed a user identification method based on Mining Web Usage Profiles from Proxy Logs. For the previous user identification system, we study that which degree the surfing behavior must be obfuscated to prevent identification. Furthermore, we investigate directions in how far a user can hide her identity by obfuscating her web usage pattern through adding or hiding random HTTP connections. In experimental evaluation, we examine the time-period being necessary to obfuscate an identity based on a two-week log file being provided by our industrial partners.
This work funded by the Fundamental Research Funds for the University of Science and Tech-nology Beijing under Grant FRF-TP-19-016A1 and the National Key R&D Plan Program of China (2019QY(Y)0601).
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Xu, J., Xu, F., Xu, C. (2021). The Obfuscation Method of User Identification System. In: Zhou, J., et al. Applied Cryptography and Network Security Workshops. ACNS 2021. Lecture Notes in Computer Science(), vol 12809. Springer, Cham. https://doi.org/10.1007/978-3-030-81645-2_2
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DOI: https://doi.org/10.1007/978-3-030-81645-2_2
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