Kernel Object Analysis is a memory forensics technique that involves the identification, reconstruction, and examination of kernel-resident data structures within a system's volatile memory to uncover evidence of malicious activity or system state anomalies.
5
Publications
329
Citations
15
Authors
8
Institutions
Publications per year
2017–2026
1
Parents
Publications
5
Multi-aspect profiling of kernel rootkit behavior
Ryan Riley, Xuxian Jiang, Dongyan Xu · 2009 · 88 citations
Robust bootstrapping memory analysis against anti-forensics
Kyoung Ho Lee, Hyunuk Hwang, Kibom Kim et al. · Digital Investigation · 2016 · 13 citations · Full text
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Authors
15
- KK
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- AS
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- WS
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- DX
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- HY
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1–5 of 15
Institutions
8
Deutsche Telekom (Germany)
Bonn, Germany
1 h-index
1 publications
161 citations
University of New Orleans
New Orleans, United States
1 h-index
2 publications
26 citations
University of California, Riverside
Riverside, United States
1 h-index
2 publications
108 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
176 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
108 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
88 citations
Chonnam National University
Gwangju, South Korea
1 h-index
2 publications
26 citations
Electronics and Telecommunications Research Institute
Daejeon, South Korea
1 h-index
2 publications
26 citations
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- Digital Investigation
3 publications · 187 citations
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