Efficient 5G Network Slicing Selection with Privacy in Smart Grid

To fulfill different requirements from various services, the smart grid typically uses 5G network slicing technique for splitting the physical network into multiple virtual logical networks. By doing so, end users in smart grid can select appropriate slice that is suitable for their services. Privac...

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Bibliographic Details
Published in2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Vol. 10; pp. 916 - 922
Main Authors Wang, Wei, Yao, Jiming, Shao, Weiping, Xu, Yangzhou, Peng, Shaowu
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.06.2022
Subjects
5G mobile communication
5G network slicing selection
Estimation
Feature extraction
match estimation
Network slicing
Privacy
privacy protection
Safety
smart grid
Smart grids
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Summary:To fulfill different requirements from various services, the smart grid typically uses 5G network slicing technique for splitting the physical network into multiple virtual logical networks. By doing so, end users in smart grid can select appropriate slice that is suitable for their services. Privacy has vital significance in network slicing selection, since both the end user and the network entities are afraid that their sensitive slicing features are leaked to an adversary. At the same time, in the smart grid, there are many low-power users who are not suitable for complex security schemes. Therefore, both security and efficiency are basic requirements for 5G slicing selection schemes. Considering both security and efficiency, we propose a 5G slicing selection security scheme based on matching degree estimation, called SS-MDE. In SS-MDE, a set of random numbers is used to hide the feature information of the end user and the AMF which can provide privacy protection for exchanged slicing features. Moreover, the best matching slice is selected by calculating the Euclid distance between two slices. Since the algorithms used in SS-MDE include only several simple mathematical operations, which are quite lightweight, SS-MDE can achieve high efficiency. At the same time, since third-party attackers cannot extract the slicing information, SS-MDE can fulfill security requirements. Experimental results show that the proposed scheme is feasible in real world applications.
ISSN:2693-2865
DOI:10.1109/ITAIC54216.2022.9836885