File Reputation Analysis
File Reputation Analysis is a malware triage method that assesses the likelihood of a file being malicious based on its observed prevalence, source, behavior, and historical interactions across global datasets, distinguishing itself from other static or dynamic analysis techniques by relying on empirical evidence of the file’s prior appearances and affiliations in threat intelligence ecosystems.
6
Publications
483
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
1
Parents
6
Polonium: Tera-Scale Graph Mining and Inference for Malware Detection
Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm et al. · 2011 · 156 citations
Polonium: Tera-Scale Graph Mining for Malware Detection
Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm et al. · 2013 · 49 citations
1–5 of 6
21
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 21
12
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
722 citations

La Trobe University
Melbourne, Australia
1 h-index
1 publications
148 citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
1 h-index
1 publications
148 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
3 publications
282 citations
NortonLifeLock (United States)
Mountain View, United States
1 h-index
4 publications
624 citations
Balochistan University of Information Technology, Engineering and Management Sciences
Quetta, Pakistan
1 h-index
1 publications
148 citations

Ariel University
Ariel, Israel
1 h-index
1 publications
94 citations

Charles Darwin University
Darwin, Australia
1 h-index
1 publications
148 citations
1–8 of 12
1 publications · 23 citations
1
h-index
1 publications · 94 citations
1
h-index
FGCS · 1 publications · 148 citations
1
h-index
1–3