Paper Info
Title
A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks.
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.
Year
DOI
Venue
2018
10.1155/2018/2874509
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Overhead (computing),Denial-of-service attack,Computer science,Computer network,Wireless ad hoc network,Vehicular ad hoc network,Distributed computing
Journal
2018
ISSN
Citations 
PageRank 
1530-8669
2
0.37
References 
Authors
10
7
Name
Order
Citations
PageRank
Raenu Kolandaisamy121.05
Rafidah Md Noor225530.34
Ismail Ahmedy36612.07
Iftikhar Ahmad415627.06
Muhammad Reza Z'aba5316.62
Muhammad Imran629632.69
Mohammed Abdullah Alnuem715212.91