eprintid: 1134
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/11/34
datestamp: 2023-11-09 15:49:17
lastmod: 2023-11-09 15:49:17
status_changed: 2023-11-09 15:39:04
type: conference_item
metadata_visibility: show
creators_name: Ahmad, I.
creators_name: Abdullah, A.B.
creators_name: Alghamdi, A.S.
title: Evaluating Neural Network intrusion detection approaches using Analytic Hierarchy Process
ispublished: pub
keywords: Adaptive resonance theory; Analytic hierarchy; Intrusion Detection Approaches (IDAs); Neural Network (NN); Self Organizing Map (SOM), Analytic hierarchy process; Arts computing; Backpropagation; Computer crime; Hierarchical systems; Information technology; Resonance; Self organizing maps, Intrusion detection
note: cited By 1; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915
abstract: 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 in the field of intrusion. Therefore, in this paper, we evaluated and compared different neural network (NN) approaches to intrusion detection. This work describes the concepts, tool and methodology being used for assay of different NN intrusion detection approaches using Analytic Hierarchy Process (AHP). Further, conclusion on results is made and direction for future works is presented. The outcome of this work may help and guide the security implementers in two possible ways, either by using the results directly obtained in this paper or by extracting the results using similar mechanism but on different intrusion detection systems or approaches. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049355151&doi=10.1109%2fITSIM.2010.5561569&partnerID=40&md5=0e2856d456a97733e4c77a3b06c7ed3e
id_number: 10.1109/ITSIM.2010.5561569
full_text_status: none
publication: Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10
volume: 2
place_of_pub: Kuala Lumpur
pagerange: 885-890
refereed: TRUE
isbn: 9781424467181
citation:   Ahmad, I. and Abdullah, A.B. and Alghamdi, A.S.  (2010) Evaluating Neural Network intrusion detection approaches using Analytic Hierarchy Process.  In: UNSPECIFIED.