Paper Info
Title
(Smart)watch your taps: side-channel keystroke inference attacks using smartwatches
Abstract
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.
Year
DOI
Venue
2015
10.1145/2802083.2808397
IEEE International Semantic Web Conference
Field
DocType
Citations 
Computer vision,Computer science,Inference,Wearable computer,Keystroke logging,Supervised learning,Mobile device,Side channel attack,Motion sensors,Artificial intelligence,Smartwatch
Conference
16
PageRank 
References 
Authors
0.59
7
4
Name
Order
Citations
PageRank
Ananda Maiti1439.63
Murtuza Jadliwala226625.26
Jibo He315713.86
Igor Bilogrevic419513.82