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Hierarchical Security Paradigm for IoT Multiaccess Edge Computing

机译:IOT MultiAccess Edge Computing的分层安全范例

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摘要

The rise in embedded and IoT device usage comes with an increase in LTE usage as well. About 70% of an estimated 18 billion IoT devices will be using cellular LTE networks for efficient connections. This introduces several challenges, such as security, latency, scalability, and quality of service, for which reason edge computing or fog computing has been introduced. The edge is capable of offloading resources to the edge to reduce workload at the cloud. Several security challenges come with multiaccess edge computing (MEC), such as location-based attacks, the man- in-the-middle attacks, and sniffing. This article proposes a software-defined perimeter (SDP) framework to supplement MEC and provide added security. The SDP is capable of protecting the cloud from the edge by only authorizing authenticated users at the edge to access services in the cloud. The SDP is implemented within a mobile-edge LTE network. Delay analysis of the implementation is performed, followed by a Denial-of-Service (DoS) attack to demonstrate the resilience of the proposed SDP. Further analyses, such as CPU usage and port scanning were performed to verify the efficiency of the proposed SDP. This analysis is followed by concluding remarks with insight into the future of the SDP in MEC.
机译:嵌入式和物联网设备的兴起也随着LTE使用量的增加而增加。估计的180亿个IOT设备的约70%将使用蜂窝LTE网络进行有效连接。这引入了几种挑战,例如安全,延迟,可扩展性和服务质量,其原因是边缘计算或雾计算。边缘能够将资源卸载到边缘,以减少云处的工作量。多种安全挑战具有多种形式边缘计算(MEC),例如基于位置的攻击,中间人攻击和嗅探。本文提出了一个软件定义的周长(SDP)框架来补充MEC并提供增加的安全性。 SDP能够通过仅在边缘授权经过身份验证的用户来保护云以在云中访问服务。 SDP在移动边缘LTE网络中实现。执行实现的延迟分析,然后进行拒绝服务(DOS)攻击以证明所提出的SDP的恢复力。进行进一步分析,例如CPU使用和端口扫描以验证所提出的SDP的效率。随后对MEC中SDP的未来有所了解,此分析是结束讲述。

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