Impact of Sybil Attack on Software-Defined Vehicular Fog Computing (SDVF) for an Emergency Vehicle Scenario

Abstract

AbstractVehicular ad-hoc networks (VANETs), a type of intelligent transportation system (ITS), can improve road traffic efficiency by increasing safety and facilitating services for passengers, drivers, and law enforcement authorities. Fog computing could be relocated nearer to automobile drivers to fulfill their requirements with minimum network infrastructure assistance. Fog computing (FC) offers latency-sensitive and position-aware solutions that may be able to suit the needs of message dissemination scenarios in VANETs. Fog nodes in different fog clusters can collaborate to provide video streams of catastrophes or crises and provide accurate visual data about the surveillance area. The goal of fog clusters is to provide less frequent service data handovers between RSUs and vehicles. A framework based on software-defined networking (SDN) provides better versatility, extendibility, fully programmable, and global knowledge. Due to its unique characteristics, integrating the SDN with the vehicular FC network (SDVF) may result in significant security and privacy difficulties for the vehicular FC network topology system. This study will look at the overall advantages of SDVF networks, with a focus on latency consumption for video streaming between the accident scene and the hospital. The privacy risks and remedies connected with the vehicular FC network topology are discussed. Illegal vehicles, also known as rogue nodes, might launch a Sybil attack by transmitting false videos to redirect other honest nodes in the network, trapping them or causing disastrous effects such as automobile collisions. This article demonstrates the effect of the Sybil attack on the software-defined vehicular fog computing (SDVF) network using the scenario of a speedy traffic accident rescue with ambulances (EV). The practical usage of fog clusters with the global and local controllers (SDNC and RSUC) is analyzed, and the effect of the Sybil attack is also assessed using the OMNET++ and VEINS simulators.KeywordsVehicular networkSoftware-defined networksFog computingEmergency message disseminationSpeedy rescue accident scenarioSybil attack