Detection Engineering
Detection Engineering is a systematic discipline within cybersecurity operations that designs, develops, and maintains scalable detection mechanisms by leveraging threat intelligence, data analytics, and adversarial modeling to proactively identify malicious activities within enterprise environments.
56
Publications
2.8K
Citations
165
Authors
87
Institutions
Publications per year
2017–2026
46
56
HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows
Sadegh M. Milajerdi, Rigel Gjomemo, Birhanu Eshete et al. · 2019 · 471 citations · Full text
Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data
Alina Oprea, Zhou Li, Ting-Fang Yen et al. · 2015 · 180 citations
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87
Tsinghua University
Beijing, China
2 h-index
4 publications
128 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
5 publications
152 citations
SRM Institute of Science and Technology
Chennai, India
2 h-index
4 publications
111 citations

University of Electronic Science and Technology of China
Chengdu, China
1 h-index
3 publications
84 citations

U.S. Air Force Institute of Technology
Dayton, United States
1 h-index
5 publications
105 citations

University of Colorado Colorado Springs
Colorado Springs, United States
1 h-index
4 publications
60 citations
King Khalid University
Abhā, Saudi Arabia
1 h-index
1 publications
15 citations
ExxonMobil (United States)
Irving, United States
1 h-index
1 publications
25 citations
1–8 of 87
2 publications · 58 citations
2
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2 publications · 198 citations
2
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1 publications · 47 citations
2
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2 publications · 27 citations
2
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2 publications · 44 citations
2
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1–5