This is a naive implementation of a keystroke anonymizer using Swift. People can be identified by keystroke biometric techniques. By introducing variance into the time between key presses and releases, we can trick / disrupt creepy surveillance that tries to identify us by our keystrokes.
This project was motivated by kloak, a keystroke anonymization tool for Linux (which ships with Whonix).
As users become more privacy aware, companies and governments are doing more to make sure that they can identify them. This is gross.
Like I said, this particular application is incredibly naive. DO NOT use this and feel safe. Though I've done some anecdotal testing using keystroke identifier applications and it seems to work, you should always err on the side of caution. If you feel like you know how to improve this project, please open a PR with your changes / suggestions.
One issue that was immediately apparent was that if you enter in too many keystrokes at a given time, and the upper-bound on the random number generator is too high, the program will fail silently and your keystroke patterns will not be varied. This is due to having a large number of key events being delayed on the upper-end of the time spectrum, and I suspect that there is an overflow somewhere. I have not figured out a way to make it fail more loudly.
The work around here was to tinker with the lower and upper bounds of the random number generator. In reality, this crashing problem isn't really an issue and was only discovered when I decided to smash my keyboard a bunch of times to see what would happen.
Compile and run the Swift code (open it up in XCode). When you run it, you will be prompted to allow the application
to have accessibility access. I set this up as an "accessibility" tool using CGEvent stuff because I couldn't figure
out an elegant way to accomplish what I wanted to otherwise (I'm new to Swift and Apple I have found does a shitty job
at documenting anything).
MIT