A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Distributed Denial of Service Detection using Multi Layered Feed Forward Artificial Neural Network
2017
International Journal of Computer Network and Information Security
One of the dangers faced by various organizations and institutions operating in the cyberspace is Distributed Denial of Service (DDoS) attacks; it is carried out through the internet. It resultant consequences are that it slow down internet services, makes it unavailable, and sometime destroy the systems. Most of the services it affects are online applications and procedures, system and network performance, emails and other system resources. The aim of this work is to detect and classify DDoS
doi:10.5815/ijcnis.2017.12.04
fatcat:73apkhjhijfhrfaro6c2o435kq