A hybrid network intrusion detection using darwinian particle swarm optimization and stacked autoencoder hoeffding tree

A hybrid network intrusion detection using darwinian particle swarm optimization and stacked autoencoder hoeffding tree

Cybersecurity experts estimate that cyber-attack damage cost will rise tremendously. The massive utilization of the web raises stress over how to pass on electronic information safely. Usually, intruders try different attacks for getting sensitive information. An Intrusion Detection System (IDS) pla...

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Bibliographic Details
Main Authors: B. Ida Seraphim, E. Poovammal, Kadiyala Ramana, Natalia Kryvinska, N. Penchalaiah
Format: Article
Language:English
Published: AIMS Press 2021-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
intrusion detection system (ids)
stream data mining
stacked autoencoder
dpso
hoeffding tree
feature selection
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2021398?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2021398?viewType=HTML

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