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Towards Learning-automation IoT Attack Detection through Re..:
, In:
2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
,
Gu, Tianbo
;
Abhishek, Allaukik
;
Fu, Hao
... - p. 88-97 , 2020
Link:
https://doi.org/10.1109/WoWMoM49955.2020.00029
RT T1 <cTitle>2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)</cTitle>: T1 <Title>Towards Learning-automation IoT Attack Detection through Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9217785&Exemplar=1&LAN=DE A1 Gu, Tianbo A1 Abhishek, Allaukik A1 Fu, Hao A1 Zhang, Huanle A1 Basu, Debraj A1 Mohapatra, Prasant YR 2020 K1 Entropy K1 Internet of Things K1 Measurement K1 Protocols K1 Intrusion detection K1 Learning (artificial intelligence) K1 Reinforcement learning K1 Anomaly detection K1 IoT security K1 Wireless traffic K1 Artificial Intelligence SP 88 OP 97 LK http://dx.doi.org/https://doi.org/10.1109/WoWMoM49955.2020.00029 DO https://doi.org/10.1109/WoWMoM49955.2020.00029 SF ELIB - SuUB Bremen
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