- Title
- A multivariant stream analysis approach to detect and mitigate DDoS attacks in vehicular ad hoc networks
- Creator
- Kolandaisamy, Raenu; Md Noor, Rafidah; Ahmedy, Ismail; Ahmad, Iftikhar; Imran, Muhammad
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181739
- Identifier
- vital:16013
- Identifier
-
https://doi.org/10.1155/2018/2874509
- Identifier
- ISBN:1530-8669 (ISSN)
- 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. © 2018 Raenu Kolandaisamy et al. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record**
- Publisher
- Hindawi Limited
- Relation
- Wireless Communications and Mobile Computing Vol. 2018, no. (2018), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2018 Raenu Kolandaisamy et al.
- Rights
- Open Access
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software
- Full Text
- Reviewed
- Funder
- This work is supported by the Deanship of Scientific Research, King Saud University, through Research Group no. RG-1435-051.
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