LC-IDS: Loci-Constellation-Based Intrusion Detection for Reconfigurable Wireless Networks

LC-IDS: Loci-Constellation-Based Intrusion Detection for Reconfigurable Wireless Networks

Detection accuracy of current machine-learning approaches to intrusion detection depends heavily on feature engineering and dimensionality-reduction techniques (e.g., variational autoencoder) applied to large datasets. For many use cases, a tradeoff between detection performance and resource require...

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Bibliographic Details
Main Authors: Jaime Zuniga-Mejia, Rafaela Villalpando-Hernandez, Cesar Vargas-Rosales, Mahdi Zareei
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
distributed network intrusion detection
scalable intrusion detection
anomaly detection
misuse detection
reconfigurable networks
dimensionality reduction
Online Access:https://www.mdpi.com/2079-9292/10/24/3053

Internet

https://www.mdpi.com/2079-9292/10/24/3053

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