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Attack based DoS attack detection using multiple classifier

Published in arXiv (Cornell University) • Jan 16, 2020
NobleIDNI5P13W11R16S95
Authors:
Mohamed Abushwereb
,
M. Syukri Mustafa
,
Mouhammd Alkasassbeh

Abstract

One of the most common internet attacks causing significant economic losses in recent years is the Denial of Service (DoS) flooding attack. As a countermeasure, intrusion detection systems equipped with machine learning classification algorithms were developed to detect anomalies in network traffic....

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