articleOct 4, 2010Closed access

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…

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2,287
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FWCI
166.25
Percentile
100%
References
65
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Authors

7

Topics & keywords

Keywords
  • Computer science
  • Android (operating system)
  • Overhead (engineering)
  • Phone
  • Computer security
  • Taint checking
  • Private information retrieval
  • Benchmark (surveying)
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