An Analysis of Browser and Machine Fingerprinting Techniques

• Published in: 2023 International Conference on Business Analytics for Technology and Security (ICBATS) pp. 1 - 8
• Main Authors: Mudassar, Muhammad, Ali, Muhammad, Ali, Atif, Farid, Zulqarnain, Asif, Rabia, Mehmood, Muhammad Hassaan, Salam Mohammed, Abdul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07-03-2023
• Subjects: Behavioral sciences; Browsers; cross-browser fingerprinting; digital advertising; e-commerce; Fingerprint recognition; Navigation; plugging; privacy; profiling; Software; unique identifiers (ui); user agents (uas); User experience; World Wide Web
• DOI: 10.1109/ICBATS57792.2023.10111174

There has been exponential growth in using the World Wide Web (WWW) since 1994. As e-business or target advertisement is growing exponentially, personalization directly impacts the retention and usability of customers. Through web user profiling, this research can precisely determine end-users' interests, provide them with a better user experience, and play with their digital identities over the web without their consent. Through the user's behavior, this research can efficiently capture the end-users interest. If we look at it from another perspective, this research can help determine the source of any criminal activity. There are various ways, but one way is to establish the profiles of anonymous users. It is assumed that all web clients are different because they all have different fingerprint values, and their fingerprints remain stable or never change. This research uses every web user's unique fingerprint to categorize a user's web usage. Web personalization is the knowledge gained by websites through user navigational behavior and interests. User profiling is the collection of the information of each unique user, either explicitly or implicitly. When the page/domain is viewed helps create a user profile.