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1 Ergebnisse
1
A Deep Multi-architectural Approach for Online Social Netwo..:
, In:
2022 IEEE World Conference on Applied Intelligence and Computing (AIC)
,
Boahen, Edward Kwadwo
;
Frimpong, Samuel Akwasi
;
Ujakpa, Martin Mabeifam
... - p. 919-924 , 2022
Link:
https://doi.org/10.1109/AIC55036.2022.9848865
RT T1
2022 IEEE World Conference on Applied Intelligence and Computing (AIC)
: T1
A Deep Multi-architectural Approach for Online Social Network Intrusion Detection System
UL https://suche.suub.uni-bremen.de/peid=ieee-9848865&Exemplar=1&LAN=DE A1 Boahen, Edward Kwadwo A1 Frimpong, Samuel Akwasi A1 Ujakpa, Martin Mabeifam A1 Sosu, Rexford Nii Ayitey A1 Larbi-Siaw, Otu A1 Owusu, Ebenezer A1 Appati, Justice Kwame A1 Acheampong, Ernest YR 2022 K1 Deep learning K1 Social networking (online) K1 Diversity reception K1 Intrusion detection K1 Graphics processing units K1 Life estimation K1 Feature extraction K1 Cyber security K1 network security K1 intrusion detection K1 artificial intelligence K1 online social network SP 919 OP 924 LK http://dx.doi.org/https://doi.org/10.1109/AIC55036.2022.9848865 DO https://doi.org/10.1109/AIC55036.2022.9848865 SF ELIB - SuUB Bremen
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