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1 Ergebnisse
1
A Deep Learning-based Penetration Testing Framework for Vul..:
, In:
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
,
Koroniotis, Nickolaos
;
Moustafa, Nour
;
Turnbull, Benjamin
... - p. 887-894 , 2021
Link:
https://doi.org/10.1109/TrustCom53373.2021.00125
RT T1 <cTitle>2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)</cTitle>: T1 <Title>A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9724406&Exemplar=1&LAN=DE A1 Koroniotis, Nickolaos A1 Moustafa, Nour A1 Turnbull, Benjamin A1 Schiliro, Francesco A1 Gauravaram, Praveen A1 Janicke, Helge YR 2021 SN 2324-9013 K1 Technological innovation K1 Recurrent neural networks K1 Atmospheric modeling K1 Soft sensors K1 Reinforcement learning K1 Reconnaissance K1 Airports K1 Penetration testing K1 vulnerability identification K1 deep learning K1 internet of things (IoT) K1 smart airports SP 887 OP 894 LK http://dx.doi.org/https://doi.org/10.1109/TrustCom53373.2021.00125 DO https://doi.org/10.1109/TrustCom53373.2021.00125 SF ELIB - SuUB Bremen
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