Model-based Threat Analysis
Model-Based Threat Analysis is a systematic method within threat modeling that employs formalized system representations—such as data flow diagrams, architectural models, or state machines—to systematically identify, evaluate, and prioritize potential security threats by analyzing structural and behavioral deviations from intended design.
296
Publications
13.1K
Citations
925
Authors
347
Institutions
Publications per year
2017–2026
140
Parents
296
SoK: Security and Privacy in Machine Learning
2018 · 405 citations
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, Anish Athalye et al. · arXiv (Cornell University) · 2018 · 326 citations · Full text
STRIDE-based threat modeling for cyber-physical systems
Rafiullah Khan, Kieran McLaughlin, David Laverty et al. · 2017 · 278 citations · Full text
1–5 of 296
925
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Tomsk State University of Control Systems and Radio-Electronics, Russia
4 publications · 58 citations
4
h-index
1–5 of 925
347

KTH Royal Institute of Technology
Stockholm, Sweden
10 h-index
33 publications
2.5K citations
KU Leuven
Leuven, Belgium
8 h-index
31 publications
1.6K citations
Stanford University
Stanford, United States
8 h-index
14 publications
797 citations

SINTEF
Trondheim, Norway
7 h-index
18 publications
461 citations
North Dakota State University
Fargo, United States
5 h-index
7 publications
574 citations

Tomsk State University of Control Systems and Radio-Electronics
Tomsk, Russia
5 h-index
12 publications
191 citations
University of Oxford
Oxford, United Kingdom
5 h-index
13 publications
611 citations
University of California, Davis
Davis, United States
4 h-index
13 publications
376 citations
1–8 of 347
9 publications · 632 citations
9
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Repository · 8 publications · 612 citations
8
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6 publications · 353 citations
6
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JSS · 5 publications · 282 citations
5
h-index
4 publications · 99 citations
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