Tainted Data Analysis
Tainted Data Analysis is a static vulnerability analysis method that identifies and tracks untrusted input data as it propagates through a program to detect potential security flaws arising from improper handling of such data.
20
Publications
846
Citations
54
Authors
27
Institutions
Publications per year
2017–2026
7
Variants
Taint Analysis
20
The taser intrusion recovery system
Ashvin Goel, Kenneth Po, Kamran Farhadi et al. · ACM SIGOPS Operating Systems Review · 2005 · 137 citations
The taser intrusion recovery system
Ashvin Goel, Kenneth Po, Kamran Farhadi et al. · 2005 · 113 citations
1–5 of 20
54
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 54
27

Harvard University Press
Cambridge, United States
2 h-index
2 publications
82 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
82 citations

University of Toronto
Toronto, Canada
2 h-index
10 publications
1.3K citations
University of Verona
Verona, Italy
1 h-index
1 publications
19 citations

Universiti Sains Malaysia
George Town, Malaysia
1 h-index
2 publications
60 citations
Georgia State University
Atlanta, United States
1 h-index
1 publications
17 citations
University of Arizona
Tucson, United States
1 h-index
2 publications
64 citations
Auburn University
Auburn, United States
1 h-index
1 publications
78 citations
1–8 of 27
1 publications · 23 citations
1
h-index
1 publications · 103 citations
1
h-index
Conference · 1 publications · 18 citations
1
h-index
1 publications · 37 citations
1
h-index
1 publications · 66 citations
1
h-index
1–5