作者: Feng Yao , Suleiman Y. Yerima , BooJoong Kang , Sakir Sezer
关键词:
摘要: In order to address the increasing compromise of user privacy on mobile devices, a Fuzzy Logic based implicit authentication scheme is proposed in this paper. The computes an aggregate score selected features and threshold real-time current historic data depicting routine. tuned fuzzy system then applied aggregated determine trust level user. fuzzy-integrated designed to: operate adaptively completely background, require minimal training period, enable high accuracy while provide timely detection abnormal activity. paper, we explore depth. Gaussian triangle-based membership functions are investigated compared using real over several weeks from different Android phone users. presented results show that our approach highly effective, viable for lightweight devices.