… This work presents a comprehensive and effective machine learning solution for se- 12
curing IoT infrastructures through stacking Long Short-Term Memory (LSTM) networks 13 to …

… of an internet of things multiagent system, in a network and … using a machine learning algorithm
for learning and subsequent … solutions in machine learning and the internet of things are …

… hardly adapt to the variation of network traffic, so the performance of … by Machine Learning,
called MML. With the implementation of machine learning algorithms such as Neural Network …

… It is also defined as the network of physical objects or things empowered … network connectivity
that enables these objects to collect, sometimes process, and exchange data. The things …

… Integrating both artificial intelligence and machine learning with IoT networks is proving
to be a challenging task for the accomplishment of the present IoT-based digital ecosystems. …

… Network traces are first processed to extract the significant features. We then selected
state-of-the-art machine learning … the performance of those machine learning algorithms on the …

… diseases using deep learning approach based on upgraded convolution neural networks, …
This study compares and contrasts several machine learning and deep learning techniques …

… learning/inference. Hence we briefly review the rudimentary concepts of machine learning
and propose their employment in the compelling applications of 5G networks, including …

… Intrusions in computer networks have increased significantly … Solutions proposed for dealing
with network intrusions can … behavior is to use Machine Learning (ML) techniques. Several …

… Botnet network. IoT devices classification allows for strengthening of the overall network
security … We propose ML-based classification method based on supervised machine learning …