ACM HotMobile 2013 poster: an energy efficient semantic context model for managing privacy on smartphones

Authors:
Prajit Kumar Das;Dibyajyoti Ghosh;Anupam Joshi;Tim Finin
Affiliations:
University of Maryland, Baltimore County, Baltimore MD;University of Maryland, Baltimore County, Baltimore MD;University of Maryland, Baltimore County, Baltimore MD;University of Maryland, Baltimore County, Baltimore MD
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2013

Citing 6
Cited 0

TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones

OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
CRePE: context-related policy enforcement for android

ISC'10 Proceedings of the 13th international conference on Information security
Fine-grained power modeling for smartphones using system call tracing

Proceedings of the sixth conference on Computer systems
Privacy Control in Smart Phones Using Semantically Rich Reasoning and Context Modeling

SPW '12 Proceedings of the 2012 IEEE Symposium on Security and Privacy Workshops
Securing Enterprise Data on Smartphones Using Run Time Information Flow Control

MDM '12 Proceedings of the 2012 IEEE 13th International Conference on Mobile Data Management (mdm 2012)
Energy efficient GPS sensing with cloud offloading

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a method to carry out energy efficient privacy preservation on a mobile smartphone. 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.