Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems

The core network architecture of telecommunication systems has undergone a paradigm shift in the fifth-generation (5G) networks. 5G networks have transitioned to software-defined infrastructures, thereby reducing their dependence on hardware-based functions. New technologies, like function virtualization and networking, been incorporated (5GCN) enable this transition. This transition significantly improved efficiency, performance, robustness. However, also made more vulnerable, as software are generally easier compromise than hardware systems. article presents comprehensive security analysis framework for 5GCN. novelty approach lies creation attack graphs virtualized 5GCN through machine learning. points 119 novel possible exploits We demonstrate that these potential vulnerabilities generate five attacks Authentication Key Agreement protocol. combine at network, protocol, application layers complex vectors. In case study, we use vectors find four loopholes WhatsApp running network.