Connectivity over the internet is drastically increasing which is the main
factor for developing different generations in the mobile network. Earlier, the usage of
the internet was primarily through smartphones but now with the invention of IoT
devices, the shift has been changed into different sectors like healthcare, agriculture,
infrastructures, and vehicles using this internet. With this shift the demand for
bandwidth, connectivity has been increased. And can be resolved through 5G network
slicing. In this paper, we proposed a slice isolation model for the security of 5G
network slicing also it will help users utilize the characteristics of network slicing to
the fullest. Our proposed model uses a Machine learning algorithm to perform slice
isolation.
Keywords: Decision Tree, eMBB, k-Nearest Neighbor, Support Vector Machine,
mMTC, Random Forest, uRLLC.
