Adversary Behavior Analysis
Adversary Behavior Analysis is a systematic method within threat intelligence integration that characterizes the tactical, operational, and strategic actions of malicious actors by analyzing observed indicators, attack patterns, and contextual data to differentiate attacker modus operandi from generic threat activity.
59
Publications
2.5K
Citations
195
Authors
79
Institutions
Publications per year
2017–2026
23
59
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
A comprehensive survey on cyber deception techniques to improve honeypot performance
Amir Javadpour, Forough Ja’fari, Tarik Taleb et al. · Computers & Security · 2024 · 128 citations · Full text
1–5 of 59
195
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79
University of Southern California
Los Angeles, United States
10 h-index
38 publications
1.5K citations
University at Buffalo, State University of New York
Buffalo, United States
4 h-index
6 publications
226 citations
California Southern University
Chandler, United States
4 h-index
12 publications
250 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
343 citations
George Mason University
Fairfax, United States
3 h-index
5 publications
128 citations
National Technical University of Athens
Athens, Greece
2 h-index
6 publications
348 citations
Wildlife Conservation Society Uganda
Kampala Central Division, Uganda
2 h-index
4 publications
136 citations
Uganda Wildlife Authority
Kampala, Uganda
2 h-index
8 publications
246 citations
1–8 of 79
3 publications · 259 citations
3
h-index
Repository · 2 publications · 48 citations
2
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Conference · 2 publications · 28 citations
2
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Repository · 2 publications · 67 citations
2
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1 publications · 10 citations
1
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1–5