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An application of principal component analysis to the detection and visualization of computer network attacks

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45474-8_11openalex-snapshot
Experiences with Specification-Based Intrusion Detection
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
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Self-Organizing Maps
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Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1109/3468.935043openalex-snapshot
Probabilistic techniques for intrusion detection based on computer audit data
inferredcites →https://doi.org/10.1109/fuzz.2003.1206614openalex-snapshot
Fuzzy clustering for intrusion detection
inferredcites →https://doi.org/10.1109/mascot.2000.876573openalex-snapshot
Statistical traffic modeling for network intrusion detection
inferredcites →https://doi.org/10.1109/secpri.1995.398921openalex-snapshot
Holding intruders accountable on the Internet
inferredcites →https://doi.org/10.1109/tc.2002.1017701openalex-snapshot
Multivariate statistical analysis of audit trails for host-based intrusion detection
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Testing Intrusion detection systems
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NATE
inferredcites →https://doi.org/10.1145/508185.508186openalex-snapshot
NATE
inferredcites →https://doi.org/10.1145/844102.844106openalex-snapshot
An empirical analysis of NATE
inferredcites →https://doi.org/10.21236/ada375846openalex-snapshot
State of the Practice of Intrusion Detection Technologies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges
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Weighted Silhouette Ranking of PCA Projections in Intrusion Detection
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Various Feature Extraction and Classification Techniques
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Ameliorating Accuracy Using Dual Dimensionality Reduction on a Classification Data set
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A Novel Feature Extraction Method Assembled with PCA and ICA for Network Intrusion Detection
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