Performance Evaluation on PHY-Security of MEC-NOMA System
In this paper,a NOMA model with active eavesdropper is established for mobile edge computing(MEC)scenarios,and evaluated the security outage probability(SOP)of the transport model by convolutional neural network(CNN)model.The results show that the proposed MEC-NOMA system not only improves the SOP,but also overcomes the active eavesdropper attacks.In addition,the SOP estimated by CNN model is very close to other methods(Monte Carlo method and analytical expression),but the execution time is shorter.
mobile edge computingnonorthogonal multile accessPHY-securitysecurity outage probabili-tyconvolutional neural network
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