Adversary Behavior Modeling
Adversary Behavior Modeling is a systematic framework that characterizes the strategic, tactical, and operational patterns of threat actors by synthesizing empirical observations and intelligence into predictive representations of malicious cyber behavior.
177
Publications
7K
Citations
506
Authors
203
Institutions
Publications per year
2017–2026
75
Parents
177
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei-Xu, Run Wang, Yihao Huang et al. · International Journal of Computer Vision · 2022 · 185 citations · Full text
Louis Anthony Cox · Risk Analysis · 2009 · 167 citations
1–5 of 177
506
15
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 506
203
University of Southern California
Los Angeles, United States
15 h-index
65 publications
3K citations
California Southern University
Chandler, United States
8 h-index
24 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
19 publications
704 citations

DEVCOM Army Research Laboratory
Adelphi, United States
5 h-index
10 publications
404 citations
Sandia National Laboratories California
Livermore, United States
5 h-index
5 publications
211 citations
University of Maryland, College Park
College Park, United States
5 h-index
11 publications
577 citations
The Ohio State University
Columbus, United States
4 h-index
8 publications
151 citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
327 citations
1–8 of 203
9 publications · 576 citations
9
h-index
Conference · 6 publications · 277 citations
6
h-index
5 publications · 352 citations
5
h-index
5 publications · 269 citations
5
h-index
3 publications · 88 citations
3
h-index
1–5