Application Taint Analysis
Application Taint Analysis is a dynamic program analysis technique that tracks the flow of sensitive data through a mobile application by marking (tainting) such data at its source and monitoring its propagation across execution paths to detect unauthorized information leaks or malicious behavior.
112
Publications
12.5K
Citations
364
Authors
140
Institutions
Publications per year
2017–2026
45
Variants
Taint Analysis
112
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
William Enck, Peter Gilbert, Byung-Gon Chun et al. · 2010 · 2.3K citations
Steven Arzt, Siegfried Rasthofer, Christian Fritz et al. · 2014 · 1.4K citations
William Enck, Peter Gilbert, Seungyeop Han et al. · ACM Transactions on Computer Systems · 2014 · 1.2K citations · Full text
Steven Arzt, Siegfried Rasthofer, Christian Fritz et al. · ACM SIGPLAN Notices · 2014 · 916 citations
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140

Pennsylvania State University
State College, United States
10 h-index
14 publications
11.4K citations
University of Luxembourg
Luxembourg, Luxembourg
10 h-index
31 publications
9.3K citations

Technische Universität Darmstadt
Darmstadt, Germany
7 h-index
22 publications
12.6K citations

Paderborn University
Paderborn, Germany
7 h-index
15 publications
643 citations
Fraunhofer Institute for Mechatronic Systems Design
Paderborn, Germany
5 h-index
8 publications
348 citations
Microsoft (United States)
Redmond, United States
4 h-index
4 publications
1.3K citations
North Carolina State University
Raleigh, United States
4 h-index
6 publications
3.1K citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
7 publications
338 citations
1–8 of 140
4 publications · 1K citations
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Conference · 3 publications · 593 citations
3
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TSE · 3 publications · 82 citations
3
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Repository · 2 publications · 143 citations
2
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2 publications · 65 citations
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