BAE: Anomaly Detection Algorithm Based on Clustering and Autoencoder

BAE: Anomaly Detection Algorithm Based on Clustering and Autoencoder

In this paper, we propose an outlier-detection algorithm for detecting network traffic anomalies based on a clustering algorithm and an autoencoder model. The BIRCH clustering algorithm is employed as the pre-algorithm of the autoencoder to pre-classify datasets with complex data distribution charac...

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Bibliographic Details
Main Authors:	Dongqi Wang, Mingshuo Nie, Dongming Chen
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Mathematics
Subjects:	pre-classification BIRCH Autoencoder anomaly detection
Online Access:	https://www.mdpi.com/2227-7390/11/15/3398

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