物联网设备雾计算网络中的安全跟踪方法

A. Alamer, Sultan Basudan, P. Hung
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引用次数: 6

摘要

本文提出了一种雾计算(FC)网络中安全且保护隐私的跟踪(SPT)机制。提出的SPT机制采用计数布隆滤波器(CBF)方法作为树框架(CBF-tree)来模拟FC网络中的安全跟踪系统。通过提出的SPT机制,雾节点可以以安全的方式跟踪特定的物联网(IoT)设备,这意味着雾节点可以跟踪物联网设备,以便为它们提供所需的服务,而不会泄露它们的私有数据,如设备的身份或位置。分析表明,SPT机制对跟踪攻击既有效又有弹性。仿真结果表明,该机制对FC网络是有利的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Secure Tracing Method in Fog Computing Network for the IoT Devices
This paper proposes a Secure and Privacy-preserving Tracing (SPT) mechanism in the Fog Computing (FC) network. The proposed SPT mechanism employs a Counting Bloom Filter (CBF) method as a tree framework (CBF-tree) to model a secure tracing system in the FC network. With the proposed SPT mechanism, the fog node can trace a particular Internet of Things (IoT) device in a secure manner, which means that the fog node can trace IoT devices in order to provide them with their requested services without revealing their private data such as the device's identities or locations. Analysis shows that the SPT mechanism is both efficient and resilient against tracing attacks. Simulation results are provided to show that the proposed mechanism is beneficial to the FC network.
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