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primary topic: Investigating supervised neural networks to intrusion detection

Investigating supervised neural networks to intrusion detection
type: AcademicArticle
type: Article
abstract: The application of neural networks towards intrusion detection is becoming a mainstream and a useful approach to deal with several current issues in this area. Currently, security in computer and network is a main problem because a single intrusion may cause a very big harm. A variety of neural networks is applied to intrusion detection approaches during last few years and still is being used in this area. In this paper, we investigated different supervised neural networks (SNN) to intrusion detection. This work describes an analysis of different supervised neural network applied to intrusion detection mechanisms using Multi-criteria analysis (MCA) technique. Further, conclusion on results is made and direction for future works is presented. The outcome of this effort may assist and direct the security implementers in the area of intrusion detection systems or approaches. ICIC International © 2010 ISSN 1881-803X.
date: 2010
volume: 4
issue: 6 A
is part of: ICIC Express Letters
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

ICIC Express Letters
type: Collection
issn: 1881803X

I. Ahmad
type: Person
given name: I.
family name: Ahmad

A. Abdullah
type: Person
given name: A.
family name: Abdullah

A. Alghamdi
type: Person
given name: A.
family name: Alghamdi

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primary topic: Investigating supervised neural networks to intrusion detection