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1 Ergebnisse
1
Visualizing TCP-SYN DDoS flooding attack:
Abdullah Ahmed Bahashwan
;
Mohammed Anbar
;
Selvakumar Manickam
...
doi:10.1371/journal.pone.0297548.g003. , 2024
Link:
https://doi.org/10.1371/journal.pone.0297548.g003
RT Journal T1
Visualizing TCP-SYN DDoS flooding attack
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25191096&Exemplar=1&LAN=DE A1 Abdullah Ahmed Bahashwan A1 Mohammed Anbar A1 Selvakumar Manickam A1 Ghassan Issa A1 Mohammad Adnan Aladaileh A1 Basim Ahmad Alabsi A1 Shaza Dawood Ahmed Rihan YR 2024 K1 Biotechnology K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 user datagram protocol K1 experimental findings indicate K1 deep multilayer perception K1 significant challenge due K1 quantitatively evaluated across K1 based detection approach K1 unrealistic sdn datasets K1 existing sdn datasets K1 e K1 high K1 standard ddos attacks K1 based ddos attacks K1 sdn </ p K1 evaluated using K1 detection accuracy K1 ddos attacks K1 sdn controller K1 udp ) K1 traffic fluctuations K1 tcp ) K1 significant features K1 rates dataset K1 qualitatively compared K1 highly contribute K1 distributed denial K1 detecting high K1 benchmark dataset JF doi:10.1371/journal.pone.0297548.g003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0297548.g003 DO https://doi.org/10.1371/journal.pone.0297548.g003 SF ELIB - SuUB Bremen
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