Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm

Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm

The availability of an enormous amount of unlabeled datasets drives the anomaly detection research towards unsupervised machine learning algorithms. Deep clustering algorithms for anomaly detection gain significant research attention in this era. We propose an intelligent anomaly detection for exten...

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Bibliographic Details
Main Authors: Annie Gilda Roselin, Priyadarsi Nanda, Surya Nepal, Xiangjian He
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
AutoEncoders
latent space view
anomaly detection
regularization
BIRCH clustering
Online Access:https://ieeexplore.ieee.org/document/9383226/

Internet

https://ieeexplore.ieee.org/document/9383226/

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