  There is a pressing need to interconnect physical systems such as power grid
and vehicles for efficient management and safe operations. Owing to the diverse
features of physical systems, there is hardly a one-size-fits-all networking
solution for developing cyber-physical systems. Network slicing is a promising
technology that allows network operators to create multiple virtual networks on
top of a shared network infrastructure. These virtual networks can be tailored
to meet the requirements of different cyber-physical systems. However, it is
challenging to design secure network slicing solutions that can efficiently
create end-to-end network slices for diverse cyber-physical systems. In this
article, we discuss the challenges and security issues of network slicing,
study learning-assisted network slicing solutions, and analyze their
performance under the denial-of-service attack. We also present a design and
implementation of a small-scale testbed for evaluating the network slicing
solutions.
