Detection Latency Optimization
Detection Latency Optimization is a methodological framework in incident detection that systematically minimizes the time interval between the occurrence of a security incident and its identification by enhancing the efficiency and responsiveness of detection mechanisms.
95
Publications
4K
Citations
279
Authors
129
Institutions
Publications per year
2017–2026
38
Parents
95
Jared C. Smolens, Brian T. Gold, Jangwoo Kim et al. · 2004 · 137 citations
Global checkpointing for distributed programs
L.M.E. Silva, Juliana Galvão da Silva · 2003 · 132 citations
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Stanford University
Stanford, United States
5 h-index
10 publications
597 citations
Yale University
New Haven, United States
4 h-index
7 publications
138 citations
Tsinghua University
Beijing, China
4 h-index
13 publications
308 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
1.3K citations

Mansoura University
Al Mansurah, Egypt
2 h-index
2 publications
55 citations

Imperial College London
London, United Kingdom
2 h-index
3 publications
95 citations
Nanjing University
Nanjing, China
2 h-index
12 publications
605 citations
University of Houston
Houston, United States
2 h-index
2 publications
38 citations
1–8 of 129
3 publications · 55 citations
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TMCCI · 2 publications · 88 citations
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2 publications · 38 citations
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1 publications · 39 citations
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1 publications · 29 citations
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