Enhancing Intrusion Detection with Autoencoder Based Classifier and Statistical Feature Selection

Enhancing Intrusion Detection with Autoencoder Based Classifier and Statistical Feature Selection

In today's digital landscape, the rapid expansion of computer networks and the increasing reliance on information technology have made network security a paramount concern. With the growing sophistication of cyber threats, traditional intrusion detection systems (IDS) face significant challeng...

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Bibliographic Details
Main Author:	Abbas Alharan
Format:	Article
Language:	English
Published:	College of Education for Pure Sciences 2023-12-01
Series:	Wasit Journal for Pure Sciences
Subjects:	Intrusion detection system Autoencoder Feature selection Classification Chi-square Pearson correlation
Online Access:	https://wjps.uowasit.edu.iq/index.php/wjps/article/view/257

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