Future Research on Artificial Intelligence & Machine Learning in 5G Network Security

Future Research on Artificial Intelligence & Machine Learning in 5G Network Security

Dr. T. Prem Chander

Associate Professor & Head of the Department, AI & ML Department,

Neil Gogte Engineering College.

Abstract — Recent technological and architectural advancements in 5G networks have proven their worth as  the deployment has started over the world. crucial performance elevating factor from access to core network  are softwareization, cloudification and virtualization of   crucial enabling network functions. Along with the  rapid-fire   elaboration comes the  pitfalls,  pitfalls and vulnerabilities in  the system for those who plan to exploit it. thus,   icing fool  evidence end- to- end( E2E) security becomes  a vital concern. Artificial intelligence( AI) and machine   literacy( ML) can play vital  part in design, modelling  and  robotization of effective security protocols against  different and wide range of  pitfalls. AI and ML has   formerly proven their effectiveness in different fields for  bracket, identification and  robotization with advanced   delicacy. As 5G networks ’ primary selling point has  been advanced data rates and speed, it'll be  delicate to  attack wide range of  pitfalls from different points using  typical/ traditional defensive measures. thus, AI and  ML can play central  part in  guarding  largely data- driven  softwareized and virtualized network  factors. This  composition presents AI and ML driven  operations for 5G  network security, their counteraccusations  and possible  exploration  directions. Also, an overview of  crucial data collection points  in 5G armature for  trouble bracket and anomaly  discovery are  bandied.

Index Terms — 5G Security, Artificial Intelligence, Machine Learning, Attacks and pitfalls, trouble bracket.