MEC-NOMA系统的物理层安全性能评估
Performance Evaluation on PHY-Security of MEC-NOMA System
张敏1
作者信息
- 1. 集美大学计算机工程学院,福建厦门 361021
- 折叠
摘要
面向移动边缘计算(mobile edge computing,MEC)场景,建立了一个存在主动攻击者的非正交多址协议(nonorthogonal multile access,NOMA)网络传输模型,并设计一种卷积神经网络(convolutional neural network,CNN)模型来评估该传输模型的安全中断概率(security outage probability,SOP).研究结果表明:所提出的MEC-NOMA系统不仅提高了 SOP,而且能够对抗主动窃听者的攻击;此外,通过CNN模型评估的SOP与其他方法(蒙特卡洛方法和数学解析表达式)非常接近,且执行时间更短.
Abstract
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.
关键词
移动边缘计算/非正交多址协议/物理层安全/安全中断概率/卷积神经网络Key words
mobile edge computing/nonorthogonal multile access/PHY-security/security outage probabili-ty/convolutional neural network引用本文复制引用
基金项目
福建省自然科学基金(2021J01857)
福建省中青年教师教育科研项目(JAT210251)
出版年
2024
国家科技期刊平台
NSTL
万方数据