Abstract
Cyber physical systems (CPSs) are multi-dimensional complex systems integrated with computing, networking and physical modules, enabling to realize complex computing and communication tasks. Vehicles are composed of many electrical and electronic hardware modules. With integrating mobile vehicles, CPSs can be extended to realize more remote tasks. Network slicing (NS) is recognized as the key enabler towards the agile enabler of vehicles-assisted CPSs. In NS, one crucial technical issue is the slice resource allocation. Intelligent approaches, such as deep learning (DP), emerge and can be adopted to allocate slice resource allocation. In addition, due to the heterogeneity nature of physical elements in CPSs, security is strongly required to be addressed. On these basis, secure and intelligent slice resource allocation in vehicles-assisted CPSs is researched in this paper. At first, system models of vehicles-assisted CPSs with NS scheme and slices are described. Then, the intelligent resource allocation framework, abbreviated as Sec-Slice-Intell, is proposed and described. The goal of Sec-Slice-Intell framework is to achieve secure resource allocation per slice for NS-enabled CPSs. In order to validate the merits of the proposed framework, evaluation work is conducted and illustrated, in the form of simulation.