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Machine Learning Methods for Cybersecurity: Review and Bibl..:

, In: 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY),

Kail, Eszter ; Banati, Anna ; Fleiner, Rita.. - p. 000527-000536 , 2023

Link: https://doi.org/10.1109/SISY60376.2023.10417894

RT 
T1 <cTitle>2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY)</cTitle>: T1 <Title>Machine Learning Methods for Cybersecurity: Review and Bibliometric Analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10417894&Exemplar=1&LAN=DE
				
A1 Kail, Eszter
A1 Banati, Anna
A1 Fleiner, Rita
A1 Mosavi, Amirhosein
A1 Mako, Csaba
YR 2023
SN 1949-0488
K1 Deep learning
K1 Computational modeling
K1 Bibliometrics
K1 Taxonomy
K1 Support vector machine classification
K1 Decision trees
K1 Computer security
K1 Machine learning
K1 cybersecurity
K1 bibliometric analysis
K1 taxonomy
K1 review
K1 survey
K1 artificial intelligence
K1 AI
K1 big data
K1 data science
K1 deep learning
K1 soft computing
K1 security
K1 computer security
K1 computer science
K1 digital security
K1 information technology security
K1 mathematics
K1 IT security
K1 information technology
K1 XAI
K1 cybersecurity threats
K1 ensemble
SP 000527
OP 000536
LK http://dx.doi.org/https://doi.org/10.1109/SISY60376.2023.10417894
DO https://doi.org/10.1109/SISY60376.2023.10417894
SF ELIB - SuUB Bremen

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