Towards the Selection of Best Neural Network System for Intrusion Detection
Currently, network security is a critical issue because a single attack can inflict catastrophic damages to computers and network systems. Various intrusion detection approaches are available to adhere to this severe issue but the dilemma is which one is more suitable. Being motivated by this situat...
Saved in:
Main Authors: | Iftikhar , Ahmad, Azween, Abdullah, Abdullah , S. Alghamdi |
---|---|
Format: | Article |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.utp.edu.my/3088/1/J5.pdf http://eprints.utp.edu.my/3088/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating Supervised Neural Networks to Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010) -
Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks
by: Ahmad, Iftikhar, et al.
Published: (2010) -
Artificial Neural Network Approaches to Intrusion Detection: A Review
by: Ahmad, iftikhar, et al.
Published: (2009) -
Artificial Neural Network Approaches to Intrusion Detection: A Review
by: I., Ahmad, et al.
Published: (2010) -
Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process
by: Ahmad, iftikhar, et al.
Published: (2010)