… In this section, we present our proposed approach, CNN-CNN, which utilizes a dual
convolutional neural network architecture for feature selection and attack detection on IoT networks. …

… CNN model termed as CS-CNN for image classification by incorporating the theory of
compressive sensing at the input layer of CNN … , We illustrate that CS-CNN is able to speed up the …

… networks and propose an OP intelligent prediction algorithm based on an improved
convolutional neural network (CNN). … radio IoT networks,” IEEE Internet Things J., vol. 6, no. 4, pp. …

… in the process of network transmission from data samples. CNN has achieved some …
Therefore, in order to improve IoT’s ability of dealing with various network attacks, CNN is …

… same IoT system allowing the design of CNN-based applications demanding autonomy, low
… When the j1-th layer of CNN u1 and the j2-th layer of CNN u2 are shared between the two …

… In this paper, we present the first application of the RNN and CNN models to an NTC
problem. The combination of both models provides automatic feature representation of network …

… In this context, this paper proposes a novel malware classification with fine-tune convolution
neural networks (MCFT-CNN) model. The MCFT-CNN model detects the unknown malware …

… network (CNN) works well with ECG recordings from the data acquisition IoT devices. Appropriate
ECG signal processing with the CNN … convolutional neural network (CNN) architecture…

… Therefore, based on CNN, this paper integrates BiLSTM network to improve the detection …
Figure 3 shows the proposed industrial Internet of Things intrusion detection model of CNN-…

… In this research, we present the convolutional neural network and long short-term memory
(CNN-LSTM) model to detect botnet attacks from selected IoT devices. The proposed system …