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Design of Deep Learning Models for the Identification of Ha..:

, In: 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON),

M, Rajesh ; Vincent, Rajiv ; Kathuria, Sakshi... - p. 1765-1771 , 2023

Link: https://doi.org/10.1109/UPCON59197.2023.10434357

RT 
T1 <cTitle>2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)</cTitle>: T1 <Title>Design of Deep Learning Models for the Identification of Harmful Attack Activities in the Industrial Internet of Things (IIOT)</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10434357&Exemplar=1&LAN=DE
				
A1 M, Rajesh
A1 Vincent, Rajiv
A1 Kathuria, Sakshi
A1 Jamalpur, Bhavana
A1 Durgam, Thirupathi
A1 Jaiswal, Tarun
YR 2023
SN 2687-7767
K1 Deep learning
K1 Productivity
K1 Recurrent neural networks
K1 Artificial neural networks
K1 Safety
K1 Industrial Internet of Things
K1 Resilience
K1 IIoT Security
K1 Deep Learning Models
K1 Recurrent Neural Networks (RNNs)
K1 Artificial Neural Networks (ANNs)
K1 Cyber Threat Detection
K1 Attack Identification
K1 Industrial Cyber security
SP 1765
OP 1771
LK http://dx.doi.org/https://doi.org/10.1109/UPCON59197.2023.10434357
DO https://doi.org/10.1109/UPCON59197.2023.10434357
SF ELIB - SuUB Bremen

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