(Smart)Watch Your Taps: Side-Channel Keystroke Inference Attacks using Smartwatches


Publication/Creation Date
September 9 2015
Creators/Contributors
Wichita State University (contributor)
Google Inc. (contributor)
Anindya Maiti (creator)
Murtuza Jadliwala (creator)
Jibo He (creator)
Igor Bilogrevic (creator)
Persuasive Intent
Academic
Description
In this paper, we investigate the feasibility of keystroke inference attacks on handheld numeric touchpads by using smartwatch motion sensors as a side-channel. The proposed attack approach employs supervised learning techniques to accurately map the uniqueness in the captured wrist movements to each individual keystroke. Experimental evaluation shows that keystroke inference using smartwatch motion sensors is not only fairly accurate, but also better than similar attacks previously demonstrated using smartphone motion sensors.
HCI Platform
Wearables
Location on Body
Wrist

Date archived
October 24 2015
Last edited
September 21 2018
How to cite this entry
Anindya Maiti, Murtuza Jadliwala, Jibo He, Igor Bilogrevic. (September 9 2015). "(Smart)Watch Your Taps: Side-Channel Keystroke Inference Attacks using Smartwatches ". 2015 ACM International Symposium on Wearable Computers (ISWC 2015). International Symposium On Wearable Computers. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/1310