TY - GEN
T1 - Behavior Fingerprints Based Smartphone User Authentication
T2 - 15th International Conference on Green, Pervasive, and Cloud Computing, GPC 2020
AU - Lamiche, Imane
AU - Guo, Bin
AU - Yang, Yafang
AU - Yu, Zhiwen
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Nowadays, humans have become too dependent on their smartphone devices for a broad range of tasks: shopping, bank interactions, socialization …etc. Wide-speared dependence on smartphone devices raises numerous security and privacy risks. To deal with these evolving threats, various authentication methods based on user behavioral biometrics have been proposed in recent research. Behavioral biometrics are used to identify the smartphone user continuously without seeking his/her cooperation which makes the task more convenient. In this paper, we review the current behavioral biometrics authentication methods on smartphones. We present an analytical study of several proposed mechanisms and discuss the strengths and limitations of available approaches. A comparative evaluation of the various state of the art obtained results is discussed. Finally, a list of open problems, challenges, and future directions are carried out for future studies on this research area.
AB - Nowadays, humans have become too dependent on their smartphone devices for a broad range of tasks: shopping, bank interactions, socialization …etc. Wide-speared dependence on smartphone devices raises numerous security and privacy risks. To deal with these evolving threats, various authentication methods based on user behavioral biometrics have been proposed in recent research. Behavioral biometrics are used to identify the smartphone user continuously without seeking his/her cooperation which makes the task more convenient. In this paper, we review the current behavioral biometrics authentication methods on smartphones. We present an analytical study of several proposed mechanisms and discuss the strengths and limitations of available approaches. A comparative evaluation of the various state of the art obtained results is discussed. Finally, a list of open problems, challenges, and future directions are carried out for future studies on this research area.
KW - Behavioral biometrics
KW - Biometrics
KW - Smartphone authentication
UR - http://www.scopus.com/inward/record.url?scp=85097821940&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-64243-3_23
DO - 10.1007/978-3-030-64243-3_23
M3 - 会议稿件
AN - SCOPUS:85097821940
SN - 9783030642426
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 303
EP - 317
BT - Green, Pervasive, and Cloud Computing - 15th International Conference, GPC 2020, Proceedings
A2 - Yu, Zhiwen
A2 - Becker, Christian
A2 - Xing, Guoliang
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 13 November 2020 through 15 November 2020
ER -