基于NOMA的海洋物联网安全计算卸载

姜微; 袁宵; 王倩; 钱丽萍

doi:10.11959/j.issn.2096-3750.2024.00414

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基于NOMA的海洋物联网安全计算卸载

理论与技术 | 更新时间：2025-03-13

- 基于NOMA的海洋物联网安全计算卸载
- NOMA-based secure computation offloading in marine Internet of things
- 物联网学报 2024年8卷第3期页码：102-111
- 作者机构：
  
  浙江工业大学网络空间安全研究院，浙江杭州 310014
- 作者简介：
  
  [ "姜微（1991‒ ），女，博士，浙江工业大学网络空间安全研究院讲师，主要研究方向为移动通信网络、工业物联网、移动边缘计算等。" ]
  [ "袁宵（1999‒ ），女，浙江工业大学网络空间安全研究院硕士生，主要研究方向为移动通信网络、物理层安全、移动边缘计算等。" ]
  [ "王倩（1990‒ ），女，博士，浙江工业大学网络空间安全研究院讲师，主要研究方向为无线通信、工业物联网、空天地一体化等。" ]
  [ "钱丽萍（1981‒ ），女，博士，浙江工业大学网络空间安全研究院教授，主要研究方向为无线通信、工业物联网、智能计算等。" ]
- 基金信息：
  
  国家自然科学基金项目(62122069;62071431;62302450);浙江省自然科学基金项目(LQ24F020037)
- DOI：10.11959/j.issn.2096-3750.2024.00414
  中图分类号：
- 收稿日期：2024-08-29，
  
  修回日期：2024-09-15，
  
  纸质出版日期：2024-09-10
- 稿件说明：
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姜微,袁宵,王倩等.基于NOMA的海洋物联网安全计算卸载[J].物联网学报,2024,08(03):102-111.

JIANG Wei,YUAN Xiao,WANG Qian,et al.NOMA-based secure computation offloading in marine Internet of things[J].Chinese Journal on Internet of Things,2024,08(03):102-111.
姜微,袁宵,王倩等.基于NOMA的海洋物联网安全计算卸载[J].物联网学报,2024,08(03):102-111. DOI： 10.11959/j.issn.2096-3750.2024.00414.

JIANG Wei,YUAN Xiao,WANG Qian,et al.NOMA-based secure computation offloading in marine Internet of things[J].Chinese Journal on Internet of Things,2024,08(03):102-111. DOI： 10.11959/j.issn.2096-3750.2024.00414.

摘要

针对海洋物联网（M-IoT

marine Internet of things）中存在多种恶意窃听设备（ED

eavesdropping device），为了确保无人水面艇（USV

unmanned surface vehicle）向高空平台（HAP

high altitude platform）的安全计算卸载，利用非正交多址接入（NOMA

non-orthogonal multiple access）辅助传输机制，将一组空闲的USV充当干扰ED窃听的干扰USV（JU

jamming USV），与传输USV（TU

transmitting USV）形成NOMA集群。考虑能耗约束和安全传输等要求，以最小化系统最大任务处理时延为目标，对TU的卸载比率、传输功率、计算资源分配和NOMA集群选择进行联合优化。为了解决混合整数非凸优化问题，提出了深度确定性策略梯度（DDPG

deep deterministic policy gradient）和交叉熵结合的算法。仿真结果显示，所提算法有效地降低了最大系统任务处理时延，并且保证了系统的安全性。

Abstract

Regarding the presence of multiple malicious eavesdropping device (ED) in the marine Internet of things (M-IoT)

to ensure the secure computation offloading of unmanned surface vehicle (USV) to a high altitude platform (HAP)

a non-orthogonal multiple access (NOMA) assisted transmission policy was employed

where a set of idle USV acted as jamming USV (JU) that interfered with the eavesdropping of the ED and formed NOMA clusters with the transmitting USV (TU). Considering the requirements such as energy constraints and security transmission

the offloading ratio

transmitting power

computation resource allocation and NOMA cluster selection were jointly optimized with the objective of minimizing the maximum task processing latency. To solve the proposed mixed-integer non-convex optimization problem

an algorithm combining deep deterministic policy gradient (DDPG) and cross-entropy was proposed. Simulation results show that the proposed algorithm can effectively reduce maximum task processing latency and ensure the security of the system.

关键词

Keywords

references

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