  As an inevitable trend of future 5G networks, Software Defined architecture
has many advantages in providing central- ized control and flexible resource
management. But it is also confronted with various security challenges and
potential threats with emerging services and technologies. As the focus of
network security, Intrusion Detection Systems (IDS) are usually deployed
separately without collaboration. They are also unable to detect novel attacks
with limited intelligent abilities, which are hard to meet the needs of
software defined 5G. In this paper, we propose an intelligent intrusion system
taking the advances of software defined technology and artificial intelligence
based on Software Defined 5G architecture. It flexibly combines security
function mod- ules which are adaptively invoked under centralized management
and control with a globle view. It can also deal with unknown intrusions by
using machine learning algorithms. Evaluation results prove that the
intelligent intrusion detection system achieves a better performance.
