Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by Roritharr on Friday December 18, 2015 @09:35AM
(#10758628)
Moneyquote of the summary:
"Our results suggest that the complete technological ecosystem of a user can be compromised when a wearable wristband device is worn."
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by GregQuinn on Friday December 18, 2015 @09:54AM
(#10758732)
A very interesting caveat from the paper:
"It is important to note that it is assumed that the victim is wearing the WAD on the wrist of the preferred hand used to interact with keyboards.
In fact, in our attack scenario it would be harder, if not impossible, for the attacker to infer keystrokes if the victim is right-handed but is wearing the
WAD on the left hand for example."
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by swiley on Friday December 18, 2015 @12:28PM
(#10759605)
The reason one would want to do this is to reduce wear on the watch, since the dominant hand is going and doing things the dominant wrist is more likely to be smacked.
This goes double for expensive watches.
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by Casseres on Friday December 18, 2015 @12:58PM
(#10759783)
Personally, I think it's the opposite. I wear my watch on the wrist of my dominant hand. I've never had a problem; in fact I think you are more likely to pay attention to it and not smack it into things.
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by Casseres on Friday December 18, 2015 @12:52PM
(#10759749)
I am right-handed and wear my watch on my right wrist as well. I've never ran into any problems doing so, and manipulating buttons on different watches was never a problem either.
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by x1798DE on Friday December 18, 2015 @10:23AM
(#10758885)
You wear your watch on your dominant hand? That feels very unnatural to me. Just manipulating the straps alone seems difficult, so that's a barrier right there...
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by Flockster on Friday December 18, 2015 @10:32AM
(#10758934)
Not to forget, that most Watches are designed to be worn on the left side. (Position of the Buttons etc.)
Smartwatches are improving here, in displaying a rotated screen, but often even these are asymmetrical designed and thus harder to use on the right arm.
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by Casseres on Friday December 18, 2015 @01:01PM
(#10759806)
I do as well. Even since I was a kid, wearing watches on the wrist of my non-dominant hand felt unnatural. I have no problem manipulating the strap or buttons on my watches.
Re:Deep-Spying: Spying Using Smartwatch and Deep Learning
by imh on Friday December 18, 2015 @11:40AM
(#10759317)
Before everyone panics, there's an important note on page 70:
>The LSTM model can also successfully classify signals with an accuracy of 19% when the dataset used for training and logging are originated from two different keypads.
Still scary to think how a motivated team could extend this though.
The source code is available at: https://github.com/tonybeltramelli/Deep-Spying
And a video demo at: https://youtu.be/ZBwSfvnoq5U
"It is important to note that it is assumed that the victim is wearing the WAD on the wrist of the preferred hand used to interact with keyboards. In fact, in our attack scenario it would be harder, if not impossible, for the attacker to infer keystrokes if the victim is right-handed but is wearing the WAD on the left hand for example."
A WAD is any wearable arm band device.
I think I started it to be different when I was a teen and the habit just stuck.
Yes, for right-handed people. The opposite is true for left-handed people, and left-handed versions of watches.
>The LSTM model can also successfully classify signals with an accuracy of 19% when the dataset used for training and logging are originated from two different keypads.
Still scary to think how a motivated team could extend this though.
I wrote a bit on the topic. Unfortunately, not my finest writing in terms of clarity, but I think it touches something important.
https://medium.com/@arthurb/traces-probability-and-learning-...