Improving Web User Tracking Systems Through Browser Fingerprinting
摘要
Browser fingerprinting is a technique that involves collecting unique information from a user’s web browser to create a distinct profile. This method can be used for identification, targeted advertising, or enhancing web security. This article proposes an approach to improve browser fingerprinting for web tracking systems. We developed a JavaScript-based browser fingerprinting system that generates stable and diverse fingerprints, addressing existing systems’ stability and diversity issues. Through a series of tests, we evaluated our system and obtained conclusive results regarding the stability, diversity, and compatibility of the fingerprints generated by our system.