All Outputs (2)

Anomaly detection using deep neural network for IoT architecture. (2021)
Journal Article
AHMAD, Z., KHAN, A.S., NISAR, K., HAIDER, I., HASSAN, R., HAQUE, M.R., TARMIZI, S. and RODRIGUES, J.J.P.C. 2021. Anomaly detection using deep neural network for IoT architecture. Applied sciences [online], 11(15), article number 7050. Available from: https://doi.org/10.3390/app11157050

The revolutionary idea of the internet of things (IoT) architecture has gained enormous popularity over the last decade, resulting in an exponential growth in the IoT networks, connected devices, and the data processed therein. Since IoT devices gene... Read More about Anomaly detection using deep neural network for IoT architecture..

A spectrogram image-based network anomaly detection system using deep convolutional neural network. (2021)
Journal Article
KHAN, A.S., AHMAD, Z., ABDULLAH, J., AHMAD, F. 2021. A spectrogram image-based network anomaly detection system using deep convolutional neural network. IEEE access [online], 9, pages 87079-87093. Available from: https://doi.org/10.1109/ACCESS.2021.3088149

The dynamics of computer networks have changed rapidly over the past few years due to a tremendous increase in the volume of the connected devices and the corresponding applications. This growth in the network's size and our dependence on it for all... Read More about A spectrogram image-based network anomaly detection system using deep convolutional neural network..