A Review Study of AI Enabled Computer Network

With the advent of pandemic the role of digital communication and in particular computer networks in day to day life has become very predominant and crucial, this has in turn increased the network usage and traffic leading to many different challenges faced by network architects and engineers, on the other hand there had been major growth and development within the field of artificial intelligence (AD and machine learning(ML) in past decade, hence artificial intelligence and in particular, deep learning models can be adapted to decrease the manual interventions and increase the quality of services(QoS)for the computer networks, network security management and many more challenges arising in computer network technology. This paper aims to explore some of the deep learning models and algorithms designed and adopted to effectively deal with different problems such as network routing automation and optimization, classification of network traffic, intrusion detection, monitoring of various network dynamics, checking for network resources availability, detecting anomalies, analyzation of network data, optimization of tracking control so on.