ARTIFICIAL NEURAL NETWORK ANALYSIS OF SOME SELECTED KDD CUP 99 DATASET FOR INTRUSION DETECTION

Due to the growing number of intrusions in local networks and the internet, it has become so universal that institution increasingly implements many structures that investigate information technology security violations. This study aimed to process, classify and predict the intrusion detection accur...

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Bibliographic Details
Main Authors: Samuel Olorunfemi Adams, Ednah Azikwe, Mohammed Anono Zubair
Format: Article
Language:English
Published: Zibeline International 2022-08-01
Series:Acta Informatica Malaysia
Subjects:
Online Access:https://actainformaticamalaysia.com/archives/AIM/2aim2022/2aim2022-55-61.pdf