Hidden Process Detection is a forensic analysis method in rootkit analysis that identifies processes concealed from standard system monitoring tools by exploiting discrepancies between user-mode and kernel-mode process listings.
8
Publications
601
Citations
31
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
Publications
8
Robust signatures for kernel data structures
Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick Traynor et al. · 2009 · 150 citations
Hidden Markov models: Pitfalls and opportunities in ecology
Richard Glennie, Timo Adam, Vianey Leos‐Barajas et al. · Methods in Ecology and Evolution · 2022 · 101 citations · Full text
1–5 of 8
Authors
31
- ACAndrea C. Arpaci-Dusseau
University of Wisconsin–Madison, United States
1 publications · 182 citations
1
h-index
- JUJeffrey Undercoffer
University of Maryland, Baltimore County, United States
1 publications · 28 citations
1
h-index
- MAMuhammad Asif Arshad
1 publications · 28 citations
1
h-index
- TS
1
h-index
- TP
1
h-index
1–5 of 31
Institutions
16
Statistical Research (United States)
Redlands, United States
1 h-index
1 publications
101 citations
University of Toronto
Toronto, Canada
1 h-index
1 publications
101 citations
University of Maryland, Baltimore
Baltimore, United States
1 h-index
3 publications
84 citations
University of Petroleum and Energy Studies
Dehradun, India
1 h-index
2 publications
110 citations
University of St Andrews
St Andrews, United Kingdom
1 h-index
4 publications
404 citations
Near East University
Nicosia, Cyprus
1 h-index
1 publications
55 citations
NOAA National Marine Fisheries Service Alaska Fisheries Science Center
Seattle, United States
1 h-index
1 publications
101 citations
Warsaw University of Technology
Warsaw, Poland
1 h-index
1 publications
45 citations
1–8 of 16
Venues
- IEEE Access
1 publications · 55 citations
1
h-index
- Methods in Ecology and Evolution
1 publications · 101 citations
1
h-index
- Computer Networks
1 publications · 45 citations
1
h-index
1–3