Citation

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 (Unpublished)

Text 42_VICKI LEE WEI QI_FIST.pdf - Submitted Version Restricted to Registered users only Download (347kB)

Abstract

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
URII:	http://shdl.mmu.edu.my/id/eprint/10906

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