安全雾计算物联网的联合资源配置方法

doi:10.11959/j.issn.1000-436x.2023134

Abstract

Abstract:

The current fog computing Internet of things (IoT) systems are prone to eavesdropping attacks in the process of physical communication transmission, and the existing research on fog computing has not effectively solved this problem.In order to realize the physical layer security (PLS) communication of the fog computing IoT to against the malicious eavesdropping of multiple eavesdroppers, a physical-layer secure fog computing Internet of things (PSFC-IoT) system was proposed.The secrecy rate of the proposed system in the secure communication scenario was analyzed, a joint resource management method based on the quantum bean optimization algorithm (QBOA) was proposed to solve the resource allocation problem of the network.The convergence performance of the proposed method was analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on system secrecy performance.In addition, the simulation results show that the proposed method can achieve the best secrecy performance for various communication scenarios.

Key words: fog computing, IoT, PLS, joint resource configuration, quantum bean optimization algorithm

CLC Number:

TN929.52

Shibo ZHANG, Hongyuan GAO, Yumeng SU, Jianhua CHENG, Lishuai ZHAO. Joint resource configuration method for secure fog computing Internet of things[J]. Journal on Communications, 2023, 44(7): 26-37.

Figures/Tables 9

References 23

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参数	参数值
路径损耗指数	3
频谱资源块带宽/MHz	5
高斯白噪声功率谱密度/(dBm·Hz^-1)	-174
物联网用户数目	25
雾计算服务器数目	12
单位时隙内物联网用户任务大小/kbit	[2, 20]
频谱资源块数目	10
窃听器数目	20
每个雾计算服务器CPU处理速率/(cycle·s^-1)	[5,9]×10¹⁰
物联网用户的传输功率/dBm	40
物联网用户最大时延允许阈值/ms	[80, 400]
处理单位比特数据需要的CPU周期/(cycle·bit^-1)	10⁴
指控时延/ms	5
单位雾计算服务器最大计算资源块数目	8

Joint resource configuration method for secure fog computing Internet of things

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