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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2255/ http://scholars.utp.edu.my/id/eprint/2255/1/Evaluating_Neural_Network_Intrusion_Detection.pdf |
| _version_ | 1848659219442565120 |
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| author | Ahmad, iftikhar Azween, Abdullah |
| author_facet | Ahmad, iftikhar Azween, Abdullah |
| author_sort | Ahmad, iftikhar |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-13T07:26:57Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2255 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:57Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:22552017-03-20T01:59:57Z http://scholars.utp.edu.my/id/eprint/2255/ Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process Ahmad, iftikhar Azween, Abdullah QA75 Electronic computers. Computer science 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 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2255/1/Evaluating_Neural_Network_Intrusion_Detection.pdf Ahmad, iftikhar and Azween, Abdullah (2010) Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process. In: International Symposium on Information Technology 2010, ITSim, June 2010, Kuala Lumpur. |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, iftikhar Azween, Abdullah Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title | Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title_full | Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title_fullStr | Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title_full_unstemmed | Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title_short | Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process |
| title_sort | evaluating neural network intrusion detection approaches using analytic hierarchy process |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2255/ http://scholars.utp.edu.my/id/eprint/2255/1/Evaluating_Neural_Network_Intrusion_Detection.pdf |