Detection and Classification of Browser Fingerprinting


Lee, Vicki Wei Qi and Ooi, Shih Yin and Pang, Ying Han (2022) Detection and Classification of Browser Fingerprinting. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Browser Fingerprint is the data gathered by the receiving server with the goal of identifying a distant device ▪ Websites frequently utilize browser fingerprinting to obtain information about a browser ▪ Browser fingerprint and cookies are not the same. ▪ Browser fingerprinting is determined by the ability to distinguish each of the distinct devices ▪ There are no ways to completely stop browser fingerprint but there are ways to minimize the risk of being tracked ▪ Browser fingerprinting is important thus it is needed to aware users, developers and etc.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Machine learning
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Dec 2022 03:44
Last Modified: 19 Dec 2022 03:44


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