Session Anomaly Detection
Session Anomaly Detection is a security monitoring method that identifies deviations from established patterns of user session behavior by analyzing session-level interactions to detect potentially malicious activities indicative of session hijacking or unauthorized access.
30
Publications
1.1K
Citations
105
Authors
39
Institutions
Publications per year
2017–2026
9
30
Detection of anomalous computer session activity
H.S. Vaccaro, Gunar E. Liepins · 2003 · 172 citations · Full text
Security audit trail analysis using inductively generated predictive rules
Hanlin Teng, K. Chen, Sha Lu · 2002 · 66 citations
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Los Alamos National Laboratory
Los Alamos, United States
2 h-index
2 publications
183 citations
Politecnico di Torino
Turin, Italy
2 h-index
8 publications
207 citations
Korea University
Seoul, South Korea
1 h-index
2 publications
60 citations

Sichuan University
Chengdu, China
1 h-index
5 publications
160 citations

Universidad de Oviedo
Oviedo, Spain
1 h-index
1 publications
94 citations
Milcord (United States)
Waltham, United States
1 h-index
1 publications
11 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
40 citations
Ericsson (Sweden)
Kista, Sweden
1 h-index
2 publications
30 citations
1–8 of 39
2 publications · 214 citations
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JNCA · 1 publications · 15 citations
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Conference · 1 publications · 11 citations
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TON · 1 publications · 29 citations
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1 publications · 28 citations
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