C089

Assessing the Importance of Browser Fingerprint Attributes through Clustering Algorithms

Vicki Lee Wei Qi ,Assoc.Prof. Dr. Ooi Shih Yin, Assoc.Prof.Dr. Pang Ying Han

AFFILIATION
Faculty of Information Science & Technology, Multimedia University

Description of Invention

Browser fingerprint is often linked to privacy as it is a method to gather data about the configuration of browser in order to identify user. The browser's configurations which are also known as attributes are the key to make the user to be identified. Web browsers explicitly disclose information about the host system to websites by making that information available to them, such as attributes like the screen resolution, local time, or OS version. Since each browser has their own different attributes which makes each of them unique. In this research, the purpose is to discover which attribute produce the highest unique value by using the clustering algorithm. Experiment results showed that if the attribute is unique, it will be hard to be cluster into groups. This can be proved by using clustering algorithm where the unique attributes will have high value in the incorrectly clustered instances because it is harder to be clustered.