- From: Tobie Langel via GitHub <sysbot+gh@w3.org>
- Date: Fri, 03 Mar 2017 21:08:07 +0000
- To: public-device-apis-log@w3.org
> Let's find a possible risk of inferring keystrokes from this paper. See the Figure 5 on page - the accuracy stabilizes at some point (but that's a model-dependent feature!). >> _"We observe that as the sampling rate increases to 100Hz, we obtain significantly higher individual key accuracies. This find- ing informs a potential resolution to the security concerns raised by our findings: by enforcing a low sampling rate on the accelerometer for untrusted applications or background applications, one can substantially mitigate the predictive accuracy of keystroke inference models."_ > In this particular risk scenario using this particular model, limiting frequency could help. Thanks to the link to the paper. I remember reading this a while back. I'm super happy I'm now able to link to it. This is exactly the kind of reference I was looking for. The difference in accuracy between 60 Hz and 200 Hz is minute, which is precisely what I wanted to demonstrate. It makes enabling use cases such as this one a no-brainer imho. -- GitHub Notification of comment by tobie Please view or discuss this issue at https://github.com/w3c/sensors/issues/98#issuecomment-284070424 using your GitHub account
Received on Friday, 3 March 2017 21:08:13 UTC