[PDF][PDF] Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
[PDF][PDF] Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments
J Augusto-Gonzalez, M Ramos - Security in Computer and Information … - dlib.hust.edu.vn
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments
O Brun, Y Yin, E Gelenbe - First workshop on Secure and Efficient …, 2018 - hal.science
In this paper, we analyze the network attacks that can be launched against Internet of Things
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments
O Brun, Y Yin, E Gelenbe - Procedia Computer Science, 2018 - Elsevier
In this paper, we analyze the network attacks that can be launched against Internet of Things
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
[PDF][PDF] Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments
J Augusto-Gonzalez, M Ramos - Security in Computer and Information … - library.oapen.org
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
[PDF][PDF] Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments
O Bruna, Y Yinb, E Gelenbeb - Procedia Computer Science, 2018 - academia.edu
In this paper, we analyze the network attacks that can be launched against Internet of Things
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
[PDF][PDF] Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments
O Bruna, Y Yinb, E Gelenbeb - Procedia Computer Science, 2018 - researchgate.net
In this paper, we analyze the network attacks that can be launched against Internet of Things
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
[PDF][PDF] Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments
O Brun, Y Yin, E Gelenbe - scholar.archive.org
In this paper, we analyze the network attacks that can be launched against Internet of Things
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
(IoT) gateways, identify the relevant metrics to detect them, and explain how they can be …
[HTML][HTML] Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments
O Brun, Y Yin, E Gelenbe, YM Kadioglu… - Security in Computer …, 2018 - Springer
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
[PDF][PDF] Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments
J Augusto-Gonzalez, M Ramos - Security in Computer and … - opac.atmaluhur.ac.id
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …