Principal component analysis
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Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas.
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Attackers often use techniques such as spoofing real UDP and ICMP to induce flooding.
“The attacker often uses techniques such as spoofing real User Datagram Protocol (UDP) [54] and Internet Control Message Protocol (ICMP) [97] to induce flooding.”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [54]
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Flagged first, then by citations
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- Authors
- Bro, R., & Smilde, A. K.
- Affiliations
- University of Copenhagen (DK)
- Venue
- Anal. Methods
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 6
- Issue
- 9
- Pages
- 2812-2831
- ISSN
- 1759-9660 (ISSN-L)
- 1759-9679
- OpenAlex
- W2763148304
- Cited by
- 3,038
- References
- 72
- Citations by year
- 2026: 251 · 2025: 352 · 2024: 445 · 2023: 435 · 2022: 343 · 2021: 281 · 2020: 254 · 2019: 210 · 2018: 180 · 2017: 120 · 2016: 94 · 2015: 53 · 2014: 12
- FWCI
- 83.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Analytical Methods (publishedVersion, cc-by-nc)
- UvA-DARE (University of Amsterdam) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- principal component analysis, chemometrics, dimensionality reduction, multivariate analysis
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