Log Correlation Rules
Log Correlation Rules is a formal method in log management that identifies and establishes temporal, causal, or contextual relationships among discrete log entries across heterogeneous systems to detect complex events or patterns indicative of specific system behaviors or security incidents.
9
Publications
266
Citations
15
Authors
8
Institutions
Publications per year
2017–2026
3
Parents
9
1–5 of 9
15
2
h-index
1
h-index
1
h-index
1 publications · 54 citations
1
h-index
1
h-index
1–5 of 15
8

University of Calabria
Rende, Italy
1 h-index
3 publications
108 citations
University of Kansas
Lawrence, United States
1 h-index
1 publications
13 citations
Kansas Geological Survey
Lawrence, United States
1 h-index
1 publications
13 citations
United States Geological Survey
Reston, United States
1 h-index
1 publications
13 citations
University of Massachusetts Boston
Boston, United States
1 h-index
1 publications
65 citations

Universidad de Alcalá
Alcalá de Henares, Spain
1 h-index
2 publications
48 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
3 publications
60 citations
Mitchell Institute
Portland, United States
1 h-index
2 publications
38 citations
1–8 of 8
2 publications · 35 citations
2
h-index
1 publications · 36 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5