Real Time Vehicular Traffic Simulation for Black Hole Attack in the Greater Detroit Area

• 作者: Abdulaziz Alshammari Debatosh Debnath George Corser Mohamed A Zohdy
• 来源期刊: 信息安全(英文)
• 学科: 工学
• 关键词: Black Hole ATTACKS Vehicular Ad Hoc Networks AODV Protocol SIMULATION SUMO GREATER DETROIT Area
• 年，卷（期）: 2020,（1）
• 页码范围: 71-80
• 页数: 10页
• 分类号: TN9

摘要

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.