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边缘计算安全性方案研究

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本文针对边缘计算的数据安全问题,提出了一种云-边协同的数据完整性保护方案.该方案利用边缘设备的分布式架构,设计了异常数据检测模块和数据隐私保护模块,实现实时计算和异常检测,同时云端负责数据存储和离群分析.该方案充分发挥了边缘计算的优势,具有轻量级、实时性强等特点,适应边缘设备的资源受限、低能耗、计算能力弱等特性.本文的工作为边缘计算安全性的进一步研究提供了参考.
Research on Security Solutions for Edge Computing
In this paper,a cloud-edge cooperative data integrity protection scheme is proposed for the data security problem of edge computing.The scheme utilizes the distributed architecture of edge devices and designs the abnormal data detection module and data privacy protection module to realize real-time computing and abnormal detection,while the cloud is responsible for data storage and outlier analysis.The scheme gives full play to the advantages of edge computing with lightweight and real-time features,and adapts to the resource-constrained,low-energy,and weak-computing-capacity characteristics of edge devices.The work in this paper provides a reference for further research on edge computing security.

edge computingdata integritycloud-edge collaborationdata securitycomputing power

黄莹达

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温州科技职业学院,浙江温州 325000

边缘计算 数据完整性 云-边协同 数据安全 计算能力

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(11)