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

Publication/Creation Date
September 9 2015
Wichita State University (contributor)
Google Inc. (contributor)
Anindya Maiti (creator)
Murtuza Jadliwala (creator)
Jibo He (creator)
Igor Bilogrevic (creator)
Persuasive Intent

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
Location on Body

Date archived
October 24 2015
Last edited
October 7 2019
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/Detail/objects/1310