TY - GEN
T1 - Demo
T2 - 16th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2018
AU - Chandrashekhara, Sharath
AU - Ki, Taeyeon
AU - Dantu, Karthik
AU - Ko, Steven Y.
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s).
PY - 2018/6/10
Y1 - 2018/6/10
N2 - Mobile systems face privacy challenges including coarse-grained privacy control and the inability to distinguish private and public files. We propose System-E, a novel system which can enhance the user privacy on mobile systems (e.g., Android) by (1) enabling users to set finer grained permissions for apps accessing data, and (2) enabling automatic classification of data (e.g., photos) at the storage layer (e.g., by using deep learning) to prevent potentially sensitive data from being stored/accessed with open permissions.
AB - Mobile systems face privacy challenges including coarse-grained privacy control and the inability to distinguish private and public files. We propose System-E, a novel system which can enhance the user privacy on mobile systems (e.g., Android) by (1) enabling users to set finer grained permissions for apps accessing data, and (2) enabling automatic classification of data (e.g., photos) at the storage layer (e.g., by using deep learning) to prevent potentially sensitive data from being stored/accessed with open permissions.
UR - https://www.scopus.com/pages/publications/85051478112
U2 - 10.1145/3210240.3211111
DO - 10.1145/3210240.3211111
M3 - Conference contribution
AN - SCOPUS:85051478112
T3 - MobiSys 2018 - Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services
SP - 539
BT - MobiSys 2018 - Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services
PB - Association for Computing Machinery
Y2 - 10 June 2018 through 15 June 2018
ER -