Cited by 969Network Security and Intrusion DetectionNetwork Packet Processing and OptimizationArtificial Immune Systems Applications

Intrusion detection by machine learning: A review

Tsai, Chih-Fong, Hsu, Yu-Feng, Lin, Chia-Ying, Lin, Wei-Yang·2009·Expert Systems with Applications

Integrity signals

Registry

Crossref · 10.1016/j.eswa.2009.05.029

Cites

74 of 74 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Tsai, C.-F., Hsu, Y.-F., Lin, C.-Y., & Lin, W.-Y.
Affiliations
  • National Central University (TW)
  • National Sun Yat-sen University (TW)
  • National Chung Cheng University (TW)
Corresponding author
  • Lin, Chia-Ying
  • Lin, Wei-Yang
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2009-12
Volume
36
Issue
10
Pages
11994-12000
ISSN
0957-4174 (ISSN-L)
OpenAlex
W2101109743
Cited by
969
References
74
Citations by year
2026: 28 · 2025: 46 · 2024: 67 · 2023: 52 · 2022: 90 · 2021: 91 · 2020: 100 · 2019: 96 · 2018: 68 · 2017: 74 · 2016: 51 · 2015: 58 · 2014: 47 · 2013: 33 · 2012: 31
FWCI
29.45
Type
journal article
Language
en
Open access
closed
Locations
Expert Systems with Applications (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
  • Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
Keywords
intrusion detection, intrusion detection systems, network security, machine learning classifiers, ensemble classifiers, hybrid classifier, network attack detection, benchmark dataset

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review