Abstract
Vehicular Ad-hoc Networks (VANETs) technology has recently emerged, and gaining significant attention from the research because it is promising technologies related to Intelligent Transportation System (ITSs) and smart cities. Wireless vehicular communication is employed to improve traffic safety and to reduce traffic congestion. Each vehicle in the ad-hoc network achieves as a smart mobile node categorized by high mobility and forming of dynamic networks. As a result of the movement of vehicles in a continuous way, VANETs are vulnerable to many security threats so it requisites capable and secure communication. Unfortunately, Ad hoc networks are liable to varied attacks like Block Hole attacks and Grey Hole attacks, Denial of service attacks, etc. Among the most known attacks are the Black Hole attacks while the malicious vehicle is able to intercept the data and drops it without forwarding it to the cars. The main goal of our simulation is to analyze the performance impact of black hole attack in real time vehicular traffic in the Greater Detroit Area using NS-2 and SUMO (Simulation of Urban). The simulation will be with AODV protocol.
Highlights
Alshammari et al DOICapable of going undetected in ad hoc networks and intercepting node communications, black hole attacks represent a major security threat for ad hoc networks in general and Vehicular Ad-hoc Networks (VANETs) in particular AODV (Ad-hoc On-Demand Distance Vector) is one of the routing protocols employed in VANETs to establish routes to destinations through which data packets travel [3] [4]
Vehicular Ad-hoc Networks (VANETs) enable communication between vehicles and Road Side Units (RSUs)
Security attacks can occur in all types of protocols in VANETs and this paper examines the performance of AODV protocol under Black Hole threat
Summary
Capable of going undetected in ad hoc networks and intercepting node communications, black hole attacks represent a major security threat for ad hoc networks in general and VANET in particular AODV (Ad-hoc On-Demand Distance Vector) is one of the routing protocols employed in VANETs to establish routes to destinations through which data packets travel [3] [4]. There are several concerns about the privacy and security of connected automotive and the Intelligent Transport Systems (ITSs) with many attacker models for connected automotive being practiced Among these problems are cyber security threats on the vehicular communication system where hackers may exploit any potential weaknesses in the system by spoofing and jamming its networks. When a path could not be set to the destination node, the neighboring nodes send a RRER packet to the source [9] [10]
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