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A Compressive Study on Detection Accuracy Model for DoS Att..:
, In:
2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
,
Pusarla, Sindhu
;
Ghugar, Umashankar
;
Ozseven, Turgut
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ISAS60782.2023.10391345
RT T1 <cTitle>2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)</cTitle>: T1 <Title>A Compressive Study on Detection Accuracy Model for DoS Attack in SDN Using Ensemble Learning Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10391345&Exemplar=1&LAN=DE A1 Pusarla, Sindhu A1 Ghugar, Umashankar A1 Ozseven, Turgut A1 Dewangan, Bhupesh Kumar A1 Choudhury, Tanupriya A1 Patni, Jagdish Chandra YR 2023 K1 Regulators K1 Denial-of-service attack K1 Regulation K1 Ensemble learning K1 Software defined networking K1 Computer crime K1 Monitoring K1 DDoS K1 SDN K1 Machine Learning Techniques K1 SVM K1 Neural K1 Logistic Regression SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ISAS60782.2023.10391345 DO https://doi.org/10.1109/ISAS60782.2023.10391345 SF ELIB - SuUB Bremen
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