Energy efficient semantic context model for managing privacy on smartphones

Authors: Prajit Kumar Das, Dibyajyoti Ghosh, Anupam Joshi, and Tim Finin

Book Title: 14th International Workshop on Mobile Computing Systems and Applications

Date: February 26, 2013

Abstract: Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage from smart phones can have disastrous results. This is especially true as most enterprises are going to a Bring-Your-Own-Device (BYOD) model for mobile devices such as smartphones. We recognize this change as a potential threat to data privacy, both of the user and also of corporations whose data is on employee owned phones. We describe a method to carry out energy efficient privacy preservation on a mobile smart-phone. Our work is based on a study of an Android smartphone’s component-wise energy consumption pattern and is based on a three-fold approach to ensure efficient execution of privacy policies, based on user and app context modeled using semantic web technologies.

Type: InProceedings

Publisher: ACM

Note: (poster paper)

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