Privacy control in smart phones using semantically rich reasoning and context modeling

Date

2012-05-24

Department

Program

Citation of Original Publication

Dibyajyoti Ghosh, Anupam Joshi, Tim Finin, and Pramod Jagtap, Privacy control in smart phones using semantically rich reasoning and context modeling, Proceedings of the IEEE Workshop on Semantic Computing and Security, 2012, DOI: 10.1109/SPW.2012.27

Rights

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

We present our ongoing work on user data and contextual privacy preservation in mobile devices through semantic reasoning. Recent advances in context modeling, tracking and collaborative localization have led to the emergence of a new class of smartphone applications that can access and share embedded sensor data. Unfortunately, this also means significant amount of user context information is now accessible to applications and potentially others, creating serious privacy and security concerns. Mobile OS frameworks like Android lack mechanisms for dynamic privacy control. We show how data flow among applications can be successfully filtered at a much more granular level using semantic web driven technologies that model device location, surroundings, application roles as well as context-dependent information sharing policies.