יוסי אורן

אקדמי בכיר

Brief Announcement

Deriving Context for Touch Events

Moran Azran, Niv Ben Shabat, Tal Shkolnik, Yossi Oren

To quantify the amount of high-level context information which can be derived by observing only a user’s touchscreen interactions, we performed a user study, in which we recorded 160 touch interaction sessions from users running different applications, and then applied both classical machine learning methods and deep learning methods to the results. Our results show that it is possible to derive higher-level user context information based on touch events alone, validating the efficacy of touch injection attacks.

שפת פרסום אנגלית
דפים 283-286
סטטוס פרסום פורסם - 01.01.2018

Keywords

Machine learning
Malicious hardware
Smart phone

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
גישה למסמך
10.1007/978-3-319-94147-9_23
קבצים וקישורים אחרים
Link to publication in Scopus