Touch me once and i know it's you!: implicit authentication based on touch screen patterns
By Alexander De Luca, Alina Hang, Frederik Brudy, Christian Lindner, Heinrich Hussmann. International Conference on Human Factors in Computing Systems, 2012
560 citations recorded by the source corpus.
Subfields: Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/99b75bfa6465aa60f5d3a6b6850d438e0919ac23
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Dawn Song
- I. Martinovic
- Mario Frank
- Haining Wang
- Neil Zhenqiang Gong
- Binghui Wang
- Aloysius Ka-Lau Mok
- Simon Pak Ho Chung
In Signal Processing
- Dawn Song
- I. Martinovic
- Haining Wang
- Engin Kirda
- Aloysius Ka-Lau Mok
- Simon Pak Ho Chung
- Christopher Krügel
Citations in the corpus
- You Are How You Touch: User Verification on Smartphones via Tapping Behaviors (2014, background): “The actual value in pixels corresponding to the touch is normalized with the device’s specific range and is scaled to a value between 0 and 1.”
- Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication (2012, background): “sture, 2.6%-3.9% if two gestures were combined, and 3% with one unique gesture for each user. There are signicant dierences in the problem setting of these two papers and our contribution. While in [28, 27], a dened entry-point is required for the user to authenticate, we aim at an implicit and cont”