Analysis of three intrusion detection system benchmark datasets using machine learning algorithms

H. Günec Kayacik; Nur Zincir-Heywood

doi:10.1007/11427995_29

Analysis of three intrusion detection system benchmark datasets using machine learning algorithms

H. Günec Kayacik, Nur Zincir-Heywood

Environmental Science

Research output: Contribution to journal › Conference article › peer-review

17 Citations (Scopus)

Original language	English
Pages (from-to)	362-367
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3495
DOIs	https://doi.org/10.1007/11427995_29
Publication status	Published - 2005
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States Duration: May 19 2005 → May 20 2005

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

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10.1007/11427995_29

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title = "Analysis of three intrusion detection system benchmark datasets using machine learning algorithms",

author = "Kayacik, {H. G{\"u}nec} and Nur Zincir-Heywood",

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pages = "362--367",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

publisher = "Springer Verlag",

note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2005 ; Conference date: 19-05-2005 Through 20-05-2005",

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AU - Kayacik, H. Günec

AU - Zincir-Heywood, Nur

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M3 - Conference article

AN - SCOPUS:24944472729

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VL - 3495

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2005

Y2 - 19 May 2005 through 20 May 2005

ER -

Analysis of three intrusion detection system benchmark datasets using machine learning algorithms

ASJC Scopus Subject Areas

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