A statistical approach for enhancing security in VANETs with efficient rogue node detection using fog computing

作     者：Anirudh Paranjothi Mohammed Atiquzzaman 

作者机构：School of Computer ScienceUniversity of OklahomaNormanOKUSA 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2022年第8卷第5期

页      面：814-824页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

主　　题：VANETs Rogue nodes Fog computing Intrusion detection 

摘      要：Rogue nodes broadcasting false information in beacon messages may lead to catastrophic consequences in Vehicular Ad Hoc Networks(VANETs).Previous researchers used cryptography,trust scores,or past vehicle data to detect rogue nodes;however,these methods suffer from high processing delay,overhead,and False–Positive Rate(FPR).We propose herein Greenshield s traffic model–based fog computing scheme called Fog–based Rogue Node Detection(F–RouND),which dynamically utilizes the On–Board Units(OBUs)of all vehicles in the region for rogue node *** aim to reduce the data processing delays and FPR in detecting rogue nodes at high vehicle *** performance of the F–RouND framework was evaluated via *** show that the F–RouND framework ensures 45%lower processing delays,12%lower overhead,and 36%lower FPR at the urban scenario than the existing rogue node detection schemes even when the number of rogue nodes increases by up to 40%in the region.