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  • Scientific papers - Annals of "Dunarea de Jos" University of Galati - Analele științifice ale Universității "Dunărea de Jos" din Galați
  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics
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  • Scientific papers - Annals of "Dunarea de Jos" University of Galati - Analele științifice ale Universității "Dunărea de Jos" din Galați
  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics
  • Mostra Item
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Study on Intrusion Detection Systems Using Genetic Algorithm

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ugal_f3_2014_nr1_4_Rafsanjani_Ryiani.pdf (412.0Kb)
Data
2014
Autore
Rafsanjani, Marjan Kuchaki
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Abstract
With the extension in computer networks and appearing new attacks, seems that security is more necessary than before. Intrusion Detection System (IDS) is one of the most important methods to develop security in computer networks. There are different methods for IDS improvement. Machine learning is one of these methods and an approach for improving IDS with machine learning using Genetic Algorithm (GA).
URI
http://10.11.10.50/xmlui/handle/123456789/3791
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  • Annals of the University "Dunarea de Jos" of Galati. Fascicle III: Electrotechnics, Electronics, Automation Control and Informatics [230]

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