The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …

Machine learning (ML) and deep learning (DL) both drawn unparalleled community interest
recently. With a growing convergence of online activities and digital life, the way people …

The Internet of Things (IoT) realizes a vision where billions of interconnected devices are
deployed just about everywhere, from inside our bodies to the most remote areas of the …

Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of
mobile networks. However, ML will also open the network to several serious cybersecurity …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

The granularization of crucial network functions implementation using software-centric, and
virtualized approaches in 5G networks have brought forth unprecedented security …

The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Recent technological and architectural advancements in 5G networks have proven their
worth as the deployment has started over the world. Key performance elevating factor from …