Cited by 2,085Network Security and Intrusion DetectionArtificial Immune Systems ApplicationsNetwork Packet Processing and Optimization

Anomaly-based network intrusion detection: Techniques, systems and challenges

García-Teodoro, P., Díaz-Verdejo, J., Maciá-Fernández, G., Vázquez, E.·2009·Computers & Security

Integrity signals

Registry

Crossref · 10.1016/j.cose.2008.08.003

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54 of 54 references verified0 citation errors · 0 not checkable

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Authors
García-Teodoro, P., Díaz-Verdejo, J., Maciá-Fernández, G., & Vázquez, E.
Affiliations
Universidad Politécnica de Madrid (ES)
Venue
Computers & Security
Publisher
Elsevier BV
Published
2009-02
Volume
28
Issue
1-2
Pages
18-28
ISSN
0167-4048 (ISSN-L)
OpenAlex
W2142889610
Cited by
2,085
References
54
Citations by year
2026: 131 · 2025: 171 · 2024: 144 · 2023: 119 · 2022: 136 · 2021: 155 · 2020: 167 · 2019: 177 · 2018: 164 · 2017: 138 · 2016: 124 · 2015: 122 · 2014: 81 · 2013: 96 · 2012: 80
FWCI
43.78
Type
journal article
Language
en
Open access
closed
Locations
Computers & Security (publishedVersion)
Funders
Defense Advanced Research Projects Agency
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
  • Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
Keywords
anomaly-based intrusion detection, network intrusion detection, network security, security threats, intrusion detection systems, adaptive security, deployment challenges

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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