Tap-based user authentication for smartwatches

Toan Nguyen; Nasir Memon

doi:10.1016/j.cose.2018.07.001

Tap-based user authentication for smartwatches

Toan Nguyen, Nasir Memon

Center for Cyber Security

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents TapMeIn, an eyes-free, two-factor authentication method for smartwatches. It allows users to tap a memorable melody (tap-password) of their choice anywhere on the touchscreen to unlock their watch. A user is verified based on the tap-password as well as her physiological and behavioral characteristics when tapping. Results from preliminary experiments with 41 participants show that TapMeIn could achieve an accuracy of 98.7% with a False Positive Rate of only 0.98%. In addition, TapMeIn retains its performance in different conditions such as sitting and walking. In terms of speed, TapMeIn has an average authentication time of 2 s. A user study with the System Usability Scale (SUS) tool suggests that TapMeIn has a high usability score.

Original language	English (US)
Pages (from-to)	174-186
Number of pages	13
Journal	Computers and Security
Volume	78
DOIs	https://doi.org/10.1016/j.cose.2018.07.001
State	Published - Sep 2018

Keywords

Biometrics
Rhythm-based authentication
Shoulder surfing
Smartwatch
Tap-based authentication
Usable security

ASJC Scopus subject areas

General Computer Science
Law

Access to Document

10.1016/j.cose.2018.07.001

Cite this

@article{92319447c79e45819cd5efc95bad667a,

title = "Tap-based user authentication for smartwatches",

abstract = "This paper presents TapMeIn, an eyes-free, two-factor authentication method for smartwatches. It allows users to tap a memorable melody (tap-password) of their choice anywhere on the touchscreen to unlock their watch. A user is verified based on the tap-password as well as her physiological and behavioral characteristics when tapping. Results from preliminary experiments with 41 participants show that TapMeIn could achieve an accuracy of 98.7% with a False Positive Rate of only 0.98%. In addition, TapMeIn retains its performance in different conditions such as sitting and walking. In terms of speed, TapMeIn has an average authentication time of 2 s. A user study with the System Usability Scale (SUS) tool suggests that TapMeIn has a high usability score.",

keywords = "Biometrics, Rhythm-based authentication, Shoulder surfing, Smartwatch, Tap-based authentication, Usable security",

author = "Toan Nguyen and Nasir Memon",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",

year = "2018",

month = sep,

doi = "10.1016/j.cose.2018.07.001",

language = "English (US)",

volume = "78",

pages = "174--186",

journal = "Computers and Security",

issn = "0167-4048",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Tap-based user authentication for smartwatches

AU - Nguyen, Toan

AU - Memon, Nasir

PY - 2018/9

Y1 - 2018/9

N2 - This paper presents TapMeIn, an eyes-free, two-factor authentication method for smartwatches. It allows users to tap a memorable melody (tap-password) of their choice anywhere on the touchscreen to unlock their watch. A user is verified based on the tap-password as well as her physiological and behavioral characteristics when tapping. Results from preliminary experiments with 41 participants show that TapMeIn could achieve an accuracy of 98.7% with a False Positive Rate of only 0.98%. In addition, TapMeIn retains its performance in different conditions such as sitting and walking. In terms of speed, TapMeIn has an average authentication time of 2 s. A user study with the System Usability Scale (SUS) tool suggests that TapMeIn has a high usability score.

AB - This paper presents TapMeIn, an eyes-free, two-factor authentication method for smartwatches. It allows users to tap a memorable melody (tap-password) of their choice anywhere on the touchscreen to unlock their watch. A user is verified based on the tap-password as well as her physiological and behavioral characteristics when tapping. Results from preliminary experiments with 41 participants show that TapMeIn could achieve an accuracy of 98.7% with a False Positive Rate of only 0.98%. In addition, TapMeIn retains its performance in different conditions such as sitting and walking. In terms of speed, TapMeIn has an average authentication time of 2 s. A user study with the System Usability Scale (SUS) tool suggests that TapMeIn has a high usability score.

KW - Biometrics

KW - Rhythm-based authentication

KW - Shoulder surfing

KW - Smartwatch

KW - Tap-based authentication

KW - Usable security

UR - http://www.scopus.com/inward/record.url?scp=85050207989&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050207989&partnerID=8YFLogxK

U2 - 10.1016/j.cose.2018.07.001

DO - 10.1016/j.cose.2018.07.001

M3 - Article

AN - SCOPUS:85050207989

SN - 0167-4048

VL - 78

SP - 174

EP - 186

JO - Computers and Security

JF - Computers and Security

ER -

Tap-based user authentication for smartwatches

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this