Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and preven...

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Bibliographic Details
Main Authors: Saad Ahmed Dheyab, Shaymaa Mohammed Abdulameer, Salama Mostafa
Format: Article
Language:ces
Published: Prague University of Economics and Business 2022-12-01
Series:Acta Informatica Pragensia
Subjects:
distributed denial of service (ddos)
intrusion detection systems (ids)
machine learning (ml)
random forest (rf)
decision tree (dt)
dimensionality reduction (dr)
Online Access:https://aip.vse.cz/artkey/aip-202203-0005_efficient-machine-learning-model-for-ddos-detection-system-based-on-dimensionality-reduction.php

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https://aip.vse.cz/artkey/aip-202203-0005_efficient-machine-learning-model-for-ddos-detection-system-based-on-dimensionality-reduction.php

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