A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks

Raenu Kolandaisamy,Muhammad Reza Z’Aba,Ismail Ahmedy,Rafidah Md Noor,Mohammed Alnuem,Muhammad Imran,Iftikhar Ahmad

doi:10.1155/2018/2874509

Abstract

Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication.

Highlights

Vehicular Ad Hoc Network (VANET) [1] is a wireless network that allows vehicles to interconnect and communicate with other nearby vehicles, Road Side Units (RSU), or roadside infrastructure
In VANET, each vehicle is considered as a network node which is equipped with an On-Board Unit (OBU) and an Application Unit (AU)
The method has been validated for its efficiency by sometimes maintaining the logs

Summary

Introduction

Vehicular Ad Hoc Network (VANET) [1] is a wireless network that allows vehicles to interconnect and communicate with other nearby vehicles, Road Side Units (RSU), or roadside infrastructure. The nodes may connect and communicate with each other directly (i.e., Vehicle to Vehicle (V2V)) or through RSUs (i.e., Vehicle to Infrastructure (V2I)) [2,3,4] This is primarily for alleviating an Intelligent Transport System (ITS) that aims to provide a wide range of applications and services including safety, nonsafety, and infotainment. In most of these applications, a large number of nodes acquire various services from the network, and the service providing node had a certain capability to handle a specific number of requests.

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