Affiliation:
1. North Carolina State University
2. Duke University
3. Seoul National University
4. Microsoft Research
5. Pennsylvania State University
6. Technicolor Research
Abstract
Today's smartphone operating systems frequently fail to provide users with adequate control over and visibility into how third-party applications use their privacy-sensitive data. We address these shortcomings with TaintDroid, an efficient, systemwide dynamic taint tracking and analysis system capable of simultaneously tracking multiple sources of sensitive data. TaintDroid provides real-time analysis by leveraging Android's virtualized execution environment. Using TaintDroid to monitor the behavior of 30 popular third-party Android applications, we found 68 instances of misappropriation of users' location and device identification information across 20 applications. Monitoring sensitive data with TaintDroid provides informed use of third-party applications for phone users and valuable input for smartphone security service firms seeking to identify misbehaving applications.
Funder
Division of Computer and Network Systems
Publisher
Association for Computing Machinery (ACM)
Cited by
113 articles.
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