Benchmarking bioinspired machine learning algorithms with CSE-CIC-IDS2018 network intrusions dataset

This paper aims to evaluate CSE-CIC-IDS2018 network intrusions dataset and benchmark a set of supervised bioinspired machine learning algo rithms, namely CLONALG Artificial Immune System, Learning Vector Quantization (LVQ) and Back-Propagation Multi-Layer Perceptron (MLP). The results obtained were...

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Bibliographic Details
Main Author: Ferreira, Paulo (author)
Other Authors: Antunes, Mário (author)
Format: conferenceObject
Language:eng
Published: 2021
Online Access:http://hdl.handle.net/10400.8/6105
Country:Portugal
Oai:oai:iconline.ipleiria.pt:10400.8/6105

Internet

http://hdl.handle.net/10400.8/6105

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