Anomaly-based network intrusion detection: Techniques, systems and challenges
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Previous surveys [161,447] cover the literature between 2000-2008, leaving out a decade of work.
“However, [161, 447] cover the literature between 2000-2008, leaving out a decade of work.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [161]
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- Authors
- García-Teodoro, P., Díaz-Verdejo, J., Maciá-Fernández, G., & Vázquez, E.
- Affiliations
- Universidad Politécnica de Madrid (ES)
- ORCID
- Vázquez, E.
- 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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