The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A clustering-based method for unsupervised intrusion detections
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In the citing paper
“Jiang et al. [220] challenge this notion by showcasing that the size of the cluster is not sufficient to detect anomalies and has to be coupled with the distance of the cluster from other clusters, to increase accuracy of detection.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [220]
In the citing paper
“The KDD dataset is used for evaluation and shows that IMM outperforms three related works [131, 139, 363] in terms of detection rate and FP.”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [220]
Citations
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Metadata
- Authors
- Jiang, S., Song, X., Wang, H., Han, J.-J., & Li, Q.-H.
- Affiliations
- Guangdong University of Foreign Studies (CN)
- Wuhan Technical College of Communications (CN)
- Huazhong University of Science and Technology (CN)
- Corresponding author
- Jiang, ShengYi
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 27
- Issue
- 7
- Pages
- 802-810
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2045012776
- Cited by
- 164
- References
- 19
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 1 · 2022: 15 · 2021: 8 · 2020: 8 · 2019: 10 · 2018: 10 · 2017: 10 · 2016: 11 · 2015: 14 · 2014: 8 · 2013: 12 · 2012: 10
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Defense Advanced Research Projects Agency
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
- Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
- Keywords
- outlier factor, network security, unknown attack detection, linear time complexity
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