Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Artifical Immune System Using Genetic Algorithm And Decision Tree
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Department of Electrical and Computer Engineering, American University in Dubai,.
Department of Electrical and Computer Engineering, American University in Dubai.
Number of Authors: 3
2016 (English)In: International Conference on Bio-engineering for Smart Technologies (BioSMART) 2016, Piscataway, NJ: IEEE, 2016, 1-4 p., 7835603Conference paper, Published paper (Refereed)
Abstract [en]

Artificial immune system (AIS) is considered as an adaptive computational intelligence method that could be used for detecting and preventing current computer network threats. AIS generates Antibodies (self) competent in recognizing Antigen (non-self), which is considered as an anomaly technique. This paper aims to develop artificial immune system (AIS) that consists of two levels. Level one is developed using Genetic Algorithm, while level two is developed using C4.5 decision tree algorithm. The proposed system trained with clustered features that are selected from NSL-KDD cup data-set. Each level produces two antibodies (that could recognize Normal and Antigen access-records). The recognition accuracy of the developed system reaches 96%. The behavior of each level is studied. The best feature-set that suits each level is specified.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2016. 1-4 p., 7835603
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-62415DOI: 10.1109/BIOSMART.2016.7835603ISI: 000401661400027Scopus ID: 2-s2.0-85015675970ISBN: 978-1-5090-4568-6 (electronic)OAI: oai:DiVA.org:ltu-62415DiVA: diva2:1080678
Conference
2016 International Conference on Bio-engineering for Smart Technologies (BioSMART),Dubai, UAE, 4-7 December 2016
Available from: 2017-03-10 Created: 2017-03-10 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Al-Douri, Yamur K.

Search in DiVA

By author/editor
Al-Douri, Yamur K.
By organisation
Operation, Maintenance and Acoustics
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 218 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf