5G Security and AI/ML – Opportunities and Challenges

Abstract: Next generation cellular networks such as 5G and 6G promise to support emerging applications such as enhanced mobile broadband, mission critical applications for the first responder, remote surgery, and industrial IOT among others. While Network Function Virtualization and Software Defined Networking open up the door for programmable networks and rapid service creation, these also offer both security opportunities, and introduces additional challenges and complexities. The talk focuses on various security challenges and opportunities introduced by 5G enablers such as Hypervisor, Virtual Network Functions (VNFs), SDN controller, orchestrator, network slicing, cloud RAN, edge cloud, and virtual security function. This talk introduces threat taxonomy for 5G security from an end-to-end system perspective including, interfaces, protocols, potential threats introduced by these enablers, and associated mitigation techniques. Additionally, this talk highlights how AI/ML can help enhance security features of these networks and elaborates some adverse effects of AI/ML. Finally, the talk introduces some of the ongoing activities within various standards communities including open source consortiums, large scale NSF testbeds, and illustrates a few deployment use case scenarios. Co-sponsored by: swen@ieee.org Speaker(s): Ashutosh, Virtual: https://events.vtools.ieee.org/m/487714