Role of Machine Learning in Communication Networks
Veerpal Kaur, Aman Deep Singh · 2021
This chapter focuses on machine learning techniques that can be deployed in the communication networks at different stages of their usage, including traffic control, routing of information, intrusion detection and many more. Evolution of big data, image recognition and deep learning is the reason that machine learning and all the artificial intelligence domains have been emerging so rapidly and are drawing the attention of economists as well as the other business leaders. Traffic control and management is the most crucial part of the communication networks as the era is facing an overwhelming use of technology. Another important paradigm of communication networks is the selection of routes for routing the network traffic. A similar approach of comparison of classifiers has been adopted to get the best suitable machine learning approach to detect intrusion detection. Deep learning with machine learning has been combined to get better detection of intrusion that demonstrates another way to achieve security in networks.