Cross-view Detection
Cross-View Detection is a rootkit detection methodology that identifies malicious software by comparing system state information across multiple, independent views—such as kernel-level and user-level interfaces—to reveal discrepancies indicative of stealthy kernel modifications.
19
Publications
868
Citations
69
Authors
23
Institutions
Publications per year
2017–2026
16
Parents
19
Detecting Stealth Software with Strider GhostBuster
Yimin Wang, Doug Beck, Binh Vo et al. · 2005 · 142 citations
Multi-View Low-Rank Analysis for Outlier Detection
Towards unsupervised open-set person re-identification
Hanxiao Wang, Xiatian Zhu, Tao Xiang et al. · 2016 · 67 citations · Full text
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Anna University, Chennai
Chennai, India
1 h-index
1 publications
19 citations
Xi'an Institute of Optics and Precision Mechanics
Xi'an, China
1 h-index
2 publications
60 citations
Chongqing University of Posts and Telecommunications
Chongqing, China
1 h-index
3 publications
63 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
28 citations

Beihang University
Beijing, China
1 h-index
6 publications
264 citations

Peking University
Beijing, China
1 h-index
2 publications
118 citations
Agency for Science, Technology and Research
Singapore, Singapore
1 h-index
4 publications
144 citations
Southeast University
Dhaka, Bangladesh
1 h-index
7 publications
210 citations
1–8 of 23
2 publications · 90 citations
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Repository · 1 publications · 28 citations
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IJWMIP · 1 publications · 19 citations
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1 publications · 71 citations
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1 publications · 43 citations
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