Towards intrusion detection of previously unknown network attacks

Saif Alzubi; Frederic Stahl; Mohamed Medhat Gaber

Towards intrusion detection of previously unknown network attacks

Saif Alzubi, Frederic Stahl, Mohamed Medhat Gaber

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

1 Citation (Scopus)

Original language	English
Pages (from-to)	35-41
Number of pages	7
Journal	Proceedings - European Council for Modelling and Simulation, ECMS
Volume	35
Issue number	1
Publication status	Published (VoR) - 1 Jun 2021
Event	35th ECMS International Conference on Modelling and Simulation, ECMS 2021 - Virtual, Online, United Kingdom Duration: 31 May 2021 → 2 Jun 2021

Keywords

Anomaly detection
Emsemble learning
Network intrusion detection
Unsupervised algorithms

Cite this

@article{4a61004c8c52402d9b851f6339119f30,

title = "Towards intrusion detection of previously unknown network attacks",

keywords = "Anomaly detection, Emsemble learning, Network intrusion detection, Unsupervised algorithms",

author = "Saif Alzubi and Frederic Stahl and Gaber, {Mohamed Medhat}",

note = "Publisher Copyright: {\textcopyright} ECMS Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela (Editors); 35th ECMS International Conference on Modelling and Simulation, ECMS 2021 ; Conference date: 31-05-2021 Through 02-06-2021",

year = "2021",

month = jun,

day = "1",

language = "English",

volume = "35",

pages = "35--41",

journal = "Proceedings - European Council for Modelling and Simulation, ECMS",

issn = "2522-2414",

number = "1",

}

TY - JOUR

T1 - Towards intrusion detection of previously unknown network attacks

AU - Alzubi, Saif

AU - Stahl, Frederic

AU - Gaber, Mohamed Medhat

N1 - Publisher Copyright: © ECMS Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela (Editors)

PY - 2021/6/1

Y1 - 2021/6/1

KW - Anomaly detection

KW - Emsemble learning

KW - Network intrusion detection

KW - Unsupervised algorithms

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UR - http://www.scopus.com/inward/citedby.url?scp=85108236974&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85108236974

SN - 2522-2414

VL - 35

SP - 35

EP - 41

JO - Proceedings - European Council for Modelling and Simulation, ECMS

JF - Proceedings - European Council for Modelling and Simulation, ECMS

IS - 1

T2 - 35th ECMS International Conference on Modelling and Simulation, ECMS 2021

Y2 - 31 May 2021 through 2 June 2021

ER -

Towards intrusion detection of previously unknown network attacks

Keywords

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