作者: Zhongmin Cai , Chao Shen , Miao Wang , Yunpeng Song , Jialin Wang
DOI: 10.1007/978-3-319-02961-0_48
关键词:
摘要: The increasing use of touchscreen mobile phones to access sensitive and personal data has given rise the need secure usable authentication technique. This paper presents a novel approach on devices. basic idea was exploit user interaction phone authenticate users based way they perform touch operations. A filed study conducted design typical touch-operation scenarios gather users’ data. Behavioral features were extracted accurately characterize behavior. Diverse classification methods employed task. Experiments are included demonstrate effectiveness proposed approach, which achieves false-acceptance rate 4.05%, false-rejection 3.27%. level accuracy shows that these indeed identity information in behavior can be used as mechanism.