Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process
At present age, security in computer and network systems is a pressing concern because a solo attack may cause an immense destruction in computer and network systems. Various intrusion detection approaches be present to resolve this serious issue but the dilemma is which one is more appropriate...
Saved in:
| Main Authors: | Ahmad, iftikhar, Azween, Abdullah |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.2255 / |
| Published: |
2010
|
| Subjects: | |
| Online Access: |
http://eprints.utp.edu.my/2255/1/Evaluating_Neural_Network_Intrusion_Detection.pdf http://eprints.utp.edu.my/2255/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards the Selection of Best Neural Network System for Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010) -
Evaluating Intrusion Detection Approaches Using a Multi-criteria Decision Making Technique
by: I. , Ahmad, et al.
Published: (2010) -
comparative Analysis of Intrusion Detection Approaches
by: I., Ahmad, et al.
Published: (2010) -
MULTI-CRITERIA DECISION MAKING IN STOCK TRADING USING HYBRID FUZZY ANALYTIC HIERARCHY PROCESS EXTENT ANALYSIS
by: OTHMAN, SHUHADAH
Published: (2015) -
An Object Oriented Approach for Business Process Reengineering
by: Alhussein Musmar, Abdelmajid Omer, et al.
Published: (2008)