TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
Pennsylvania State University · Duke University · +1 more institution
Abstract
Today’s smartphone operating systems frequently fail to provide users with adequate control over and visibility into how third-party applications use their private data. We address these shortcomings with TaintDroid, an efficient, system-wide dynamic taint tracking and analysis system capable of simultaneously tracking multiple sources of sensitive data. TaintDroid provides realtime analysis by leveraging Android’s virtualized execution environment. TaintDroid incurs only 14 % performance overhead on a CPU-bound micro-benchmark and imposes negligible overhead on interactive third-party applications. Using TaintDroid to monitor the behavior of 30 popular third-party Android applications, we found 68 instances…
Citation impact
- FWCI
- 166.25
- Percentile
- 100%
- References
- 65
Authors
7Topics & keywords
- Computer science
- Android (operating system)
- Overhead (engineering)
- Phone
- Computer security
- Taint checking
- Private information retrieval
- Benchmark (surveying)