Abstract
There is a pressing need to interconnect physical systems such as power grid and vehicles for efficient management and safe operations. Due 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.
Original language | English (US) |
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Article number | 9105932 |
Pages (from-to) | 37-43 |
Number of pages | 7 |
Journal | IEEE Network |
Volume | 34 |
Issue number | 3 |
DOIs | |
State | Published - May 1 2020 |
All Science Journal Classification (ASJC) codes
- Software
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications