TY - JOUR
T1 - Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities
AU - Li, Wenjuan
AU - Meng, Weizhi
AU - Furnell, Steven
N1 - Funding Information:
We would like to thank all participants for their hard work during the user study. This work was partially supported by National Natural Science Foundation of China (No. 61802077 ).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/4
Y1 - 2021/4
N2 - The Internet of Things (IoT) allows various embedded devices and smart sensors to be connected with each other, which provides a basis for building smart cities. The IoT-enabled smart city can greatly benefit people's daily lives, where smartphone is one of the most widely used IoT devices. For example, people can use the phone to check their financial account, store personal data and communicate with peers. Thus it is very important to safeguard the phones from unauthorized access. To complement traditional textual passwords, touch behavioral authentication has attracted much attention while it is still a challenge on how to build a robust scheme in practice. This is because users’ touch actions are often dynamic and hard to model. For this challenge, previous work has proved that touch actions could become consistent when users interact with social networking applications. Motivated by this observation, in this work, we perform a study to investigate users’ touch behavior within Email applications on smartphones (with Email being one of the most important and widely used means in connecting with others). The study results with 60 participants validate the former observation that users’ touch behavioral deviation can be greatly decreased when they play Email applications.
AB - The Internet of Things (IoT) allows various embedded devices and smart sensors to be connected with each other, which provides a basis for building smart cities. The IoT-enabled smart city can greatly benefit people's daily lives, where smartphone is one of the most widely used IoT devices. For example, people can use the phone to check their financial account, store personal data and communicate with peers. Thus it is very important to safeguard the phones from unauthorized access. To complement traditional textual passwords, touch behavioral authentication has attracted much attention while it is still a challenge on how to build a robust scheme in practice. This is because users’ touch actions are often dynamic and hard to model. For this challenge, previous work has proved that touch actions could become consistent when users interact with social networking applications. Motivated by this observation, in this work, we perform a study to investigate users’ touch behavior within Email applications on smartphones (with Email being one of the most important and widely used means in connecting with others). The study results with 60 participants validate the former observation that users’ touch behavioral deviation can be greatly decreased when they play Email applications.
KW - Behavioral user authentication
KW - Machine learning
KW - Smartphone security
KW - Social networking
KW - Touch gestures
KW - Usable security
UR - http://www.scopus.com/inward/record.url?scp=85100045071&partnerID=8YFLogxK
U2 - 10.1016/j.patrec.2021.01.019
DO - 10.1016/j.patrec.2021.01.019
M3 - Journal article
AN - SCOPUS:85100045071
SN - 0167-8655
VL - 144
SP - 35
EP - 41
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
ER -
