A linear discriminant analysis-based algorithm for identifying anomalous traffic in large-scale networks

A linear discriminant analysis-based algorithm for identifying anomalous traffic in large-scale networks

To protect network security, this paper develops a large-scale network anomalous traffic identification algorithm that utilizes the linear discriminant analysis method to intercept network anomalous traffic. Firstly, the classification of large-scale network anomalous traffic is explored, and the SS...

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Bibliographic Details
Main Authors: Wu Qiubing, Zhao Xiaofeng
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
linear discriminant analysis
ssae algorithm
feature selection
data dimensionality reduction
anomalous flow identification
03d32
Online Access:https://doi.org/10.2478/amns.2023.2.01173

Internet

https://doi.org/10.2478/amns.2023.2.01173

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