Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Browser fingerprinting is a widely used technique to uniquely identify b users and to track their online behavior. Until now, different tools have been proposed to protect the user against browser fingerprinting. Hover, these tools have usability restrictions as they deactivate browser features and plug-ins (like Flash) or the HTML5 canvas element. In addition, all of them only provide limited protection, as they randomize browser settings with unrealistic parameters or have methodical flaws, making them detectable for trackers.   In this work  demonstrate the first anti-fingerprinting strategy, which protects against Flash fingerprinting without deactivating it, provides robust and undetectable anti-canvas fingerprinting, and uses a large set of real word data to hide the actual system and browser properties without losing usability.  discuss the methods and aknesses of existing anti-fingerprinting tools in detail and compare them to our enhanced strategies. Our evaluation against real world fingerprinting tools shows a successful fingerprinting protection in over 99% of 70.000 browser sessions.
['Peter Baumann', 'Stefan Katzenbeisser', 'Martin Stopczynski', 'Erik Tews']
I am writing a research paper on a idea Disguised Chromium Browser: Robust Browser, Flash and Canvas Fingerprinting Protection
[{"from": "human", "value": "I am writing a research paper on a idea Disguised Chromium Browser: Robust Browser, Flash and Canvas Fingerprinting Protection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Browser fingerprinting is a widely used technique to uniquely identify b users and to track their online behavior. Until now, different tools have been proposed to protect the user against browser fingerprinting. Hover, these tools have usability restrictions as they deactivate browser features and plug-ins (like Flash) or the HTML5 canvas element. In addition, all of them only provide limited protection, as they randomize browser settings with unrealistic parameters or have methodical flaws, making them detectable for trackers.   In this work  demonstrate the first anti-fingerprinting strategy, which protects against Flash fingerprinting without deactivating it, provides robust and undetectable anti-canvas fingerprinting, and uses a large set of real word data to hide the actual system and browser properties without losing usability.  discuss the methods and aknesses of existing anti-fingerprinting tools in detail and compare them to our enhanced strategies. Our evaluation against real world fingerprinting tools shows a successful fingerprinting protection in over 99% of 70.000 browser sessions."}]