Internet of things (IoT) connects all items to the Internet through information-sensing devices to exchange information for intelligent identification and management. Sybil attack is a famous and crippling attack in IoT. Most of the previous methods of detecting Sybil attacks in IoT mainly focus on static IoT while there are very rare methods applicable to mobile IoT. In this paper, a novel, lightweight, and distributive detection scheme based on edge computing is proposed for detecting Sybil attacks in mobile IoT. In the proposed scheme, a detection consists of two rounds. In each round, member nodes are required to send packets to edge nodes. Edge nodes calculate a possible interval of the received signal strength indication (RSSI) from the first round and check whether the RSSI from the second round is in the interval to detect Sybil attack. Extensive experimental studies are included to show that the presented approach outperforms many existing approaches in terms of true detection and false detection rates. Moreover, experimental results show that the fault tolerance design in the proposed approach greatly enhances the detection scheme.

翻译：Sybil攻击是IoT中著名的致命攻击。以前在IoT中探测Sybil攻击的方法大部分主要集中于静态IoT,而适用于移动IoT的方法非常罕见。在本文中,提出了一个基于边缘计算的新颖、轻量和分配性检测计划,以探测移动IoT中的Sybil攻击。在拟议办法中,探测由两轮组成。每轮需要成员节点将包送到边缘节点。Edge节点计算从第一轮收到的信号强度指示(RSSI)的可能间隔,并检查第二轮RSSI是否处于探测Sybil攻击的间隔。包括广泛的实验研究,以表明所提出的方法在真实探测和虚假检测率方面比现有的许多方法要好。此外,实验结果显示,拟议的方法中的错误容忍设计大大加强了探测计划。