… This article proposes to model the IoT as an efficient deep neural network. Specifically,
we propose a distributed ML framework that designs the compression at the nodes and the …

… Internet of things (IoT) refers to a set or sets of closely connected devices that form a network
through wireless or wired communication … , and various communication protocols such as …

… Neural Network (CNN) is suggested in this research to discover the aforementioned problems
in IoT … The IoT's communication language will be built on interoperable protocols that work …

… Based on a BP neural network, we propose a ABEP performance prediction algorithm in
Sect. 6. The ABEP performance is evaluated and compared with the simulation results in Sect. …

… we need a robust communication network. This article proposes … Then, communication
robustness can be achieved by … to train a set of artificial neural networks (ANNs), where each ANN …

… of an artificial neural network onto the communication of an IoT network for … network
holistically as an artificial neural network, rather than placing neural networks within the network…

… IoT network. In this research, we developed a new intelligent self-reliant system that can detect
mutations of IoT cyber-attacks using deep convolutional neural network … the IoT computing…

… The AENN approach utilizing few general settings to identify the Internet mediate attacks
in the IoT-wireless communication process. The T transmission process should examine the …

… with increasingly transient IoT communications, the likelihood of … to IoT discovery takes as
an input the spectrogram images that a human would view and applies Deep Neural Network (…

… IoT devices may be susceptible to a wide range of assaults due to the complexity of IoT
networks. For a passive attack is when an adversary simply listens in on communications among …