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
Quire: lightweight provenance for smart phone operating systems
SEC'11 Proceedings of the 20th USENIX conference on Security
Crowdroid: behavior-based malware detection system for Android
Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices
Provenance for system troubleshooting
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
SPADE: support for provenance auditing in distributed environments
Proceedings of the 13th International Middleware Conference
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Mobile devices are a ubiquitous part of our daily lives. Smartphones are being used in many areas where data privacy and integrity are a concern. One threat to integrity and privacy is the existence of bugs in operating system code. Little has been done to provide tools for system-wide runtime profiling and accountability. We propose operating system auditing and data provenance tracking as mechanisms for generating useful traces of system activity and information flow on mobile devices. The goal of these traces is to enable debugging and profiling of complicated system issues such as increased power drain. We contribute a prototype system for Android-based mobile devices and provide realistic examples of how our system can be used for debugging.