Bridging the Privacy Gap: A Behavioural Analysis-Based Extension for Transparent Tracking Prevention
Prof. Rekha K. Sahare1 Arti Gavhare2 Shekhar Hadge3
1Department of Computer Science & Engineering, Government College of Engineering, Chandrapur
2Department of Computer Science & Engineering, Government College of Engineering, Chandrapur
3Department of Computer Science & Engineering, Government College of Engineering, Chandrapur
Abstract :- Modern web tracking has moved far beyond the use of simple cookies. Today, many websites rely on advanced fingerprinting methods that take advantage of browser APIs (Application Programming Interfaces) to generate unique user identities, often without the user’s knowledge or permission.
This research introduces a browser extension that focuses on behavioral analysis to improve user privacy while maintaining transparency. The system works by continuously monitoring and analyzing how websites access sensitive browser features such as Canvas pixel data, WebGL rendering details, and Audio Context-based hardware information.
To balance usability and privacy, the extension is designed with three levels of protection. The Aggressive Mode actively prevents fingerprinting by introducing controlled noise into data requests. The Balanced Mode offers a moderate level of protection suitable for everyday browsing, while the Manual Mode allows users to customize permissions for individual websites, giving them full control over tracking activities.
One of the key highlights of this extension is the Insights Tab, which helps users better understand online tracking. It provides clear visual feedback on detected threats and displays a dynamic “Trust Score,” calculated using a multi-stage threat evaluation process.
Testing results show that the extension is capable of identifying and mitigating fingerprinting attempts effectively, while also improving user awareness about online privacy risks. By combining automated detection with user-focused insights, this approach offers a practical solution for enhancing digital privacy in today’s increasingly complex web environment.
Key Words: Browser fingerprinting,behavioral Analysis,Web Privacy,Tracking Prevention,User Education.
