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 |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.3088 / |
| 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
-
Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process
by: Ahmad, iftikhar, et al.
Published: (2010) -
comparative Analysis of Intrusion Detection Approaches
by: I., Ahmad, et al.
Published: (2010) -
Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
by: I. , Ahmad, et al.
Published: (2010) -
DYNAMIC ANT COLONY SYSTEM WITH THREE LEVEL UPDATE FEATURE
SELECTION FOR INTRUSION DETECTION
by: MEHMOOD, TAHIR
Published: (2016) -
A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer
by: Hammuzamer Irwan , Hamzah, et al.
Published: (2009)