DDoS Attack Detection in SDN-Based Instrumented Ad Hoc Networks
Keywords:
: Software Defined Networks, sFlow-RT, VANET, SUMO, InfluxDB, Grafana, WEKAAbstract
The physical characteristics of today's urban intersection structures and the traffic flows caused by unplanned road intersections lead to many negative effects such as time/cash loss, stress, increased fuel consumption, and more. For this reason, many studies are being conducted on traffic management systems, an application of smart cities, in both academic and commercial circles. In recent years, it has been observed that the VANET (Vehicular Ad Hoc Networks) architecture, which easily enables communication between vehicles or with devices on the side of the field, thus transporting relevant traffic data to the center, is frequently used in these studies. When Software Defined Networking emerged as a new technology, it brought many advantages such as high availability, scalability, and performance, but also introduced new security vulnerabilities targeted by attackers. This research primarily focuses on a resource-based detection approach by combining the powers of Software Defined Networking and s-Flow-RT technology against Distributed Denial of Service Attacks. In the simulation study conducted within the scope of this work, an SDN (Software Defined Networking)-based DDoS (Distributed Denial of Service) attack was carried out, and changes in data before and after the attack were examined. Traffic for the DDoS attack was generated with the Hping3 application. The RYU controller (a component-based software-defined networking framework) was selected as the software-defined network controller to create software-defined networks, and the Mininet emulator was used. A traditional computer network's Ubuntu virtual machine was used to carry out the attack in the scope of the work.
References
A. Shirmarz and A. Ghaffari, “An Autonomic Software Defined Network (SDN) Architecture WithPerformance Improvement Considering,” J. Inf. Syst. Telecommun., vol. 8, no. 2, ( 2020) 1–9.
A. Shirmarz and A. Ghaffari, “Performance issues and solutions in SDN-based data center: a survey,” J. Supercomput., vol. 76 (2020) 7545–7593.
A. Shirmarz and A. Ghaffari, “An adaptive greedy flow routing algorithm for performance improvement in a software‐defined network,” Int. Numer. Model. Electron. networks, Devices, Fields-Wiley online Libr., vol. 33, no. 1, (2019) 1–21.
A. Shirmarz and A. Ghaffari, “Taxonomy of controller placement problem ( CPP ) optimization in Software Defined Network (SDN ): a survey,” J. Ambient Intell. Humaniz. Comput., (2021) 1–26.
G. Ramya and R. Manoharan, “Enhanced Multi-Controller Placements in SDN,” J. Ambient Intell. Humaniz. Comput., (2020) 1–5.
World Health Organization (WHO). Global status report on road safety 2018. WHO (2018) https://www.who.int/violence_injury_prevention/road_safety_status/2018/English-Summary-GSRRS2018.pdf (accessed 20 August 2019).
Jain, M, Saxena, R. VANET: security attacks, solution and simulation. In: Bhateja, V, Tavares, JMR, Rani, BP, et al. (eds) Proceedings of the second international conference on computational intelligence and informatics. Singapore: Springer, (2018) 457–466.
Ghebleh, R. A comparative classification of information dissemination approaches in vehicular ad hoc networks from distinctive viewpoints: a survey. Comput Netw (2018) 131:15–37.
I. Sharafaldin, A. H. Lashkari, S. Hakak, and A. A. Ghorbani, “Developing realistic distributed denial of service (DDoS) attack dataset and taxonomy,” Proc. - Int. Carnahan Conf. Secur. Technol., vol. 2019-Octob (2019).
Quagga Routing Software Suite. [Online]. Available: http://www.nongnu.org/quagga/
Q. Yan; F. R. Yu, “Distributed denial of service attacks in software-defined networking with cloud computing,” IEEE Communications Magazine, Volume: 53, Issue: 4, (2015) 52 - 59,
M Raya, P Papadimitratos, JP Hubaux, “Securing Vehicular Communications”, IEEE Wireless Communications, Vol 13, October (2006).
S. Zeadally, R, Hunt, Y. Chen, A. Irwin, and A. Hassan, "Vehicular ad hoc networks (VANETS): status, results, and challenges," Telecommunication Systems, vol. 50, no. 4, (2010) 217-241.
Feamster, Nick, Jennifer Rexford, and Ellen Zegura. "The road to SDN: an intellectual history of programmable networks." ACM SIGCOMM Computer Communication Review 44, No. 2 (2014), 87–98.
Xiao, X.; Kui, X. The characterizes of communication contacts between vehicles and intersections for software-defined vehicular networks. Mob. Netw. Appl. (2015) 20, 98–104.
