SDN-Based Security for Smart Devices Against Denial of Service Attacks

R Sherine Jenny; N Sugirtham

doi:10.17485/IJST/v16i3.1960

Article

SDN-Based Security for Smart Devices Against Denial of Service Attacks

VIEWS 797
PDF 160

Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i3.1960

Year: 2023, Volume: 16, Issue: 3, Pages: 181-189

Original Article

SDN-Based Security for Smart Devices Against Denial of Service Attacks

R Sherine Jenny^1*, N Sugirtham¹

¹Department of Electronics and Communication Engineering Dr.Mahalingam College of Engineering and Technology (An autonomous Institution affiliated to Anna University), Pollachi, Chennai, India

*Corresponding Author
Email: [email protected]

Received Date:28 September 2022, Accepted Date:21 December 2022, Published Date:20 January 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To achieve a reliable IoT environment by mitigating the DoS attack. Methods: The study focuses on building a firewall on an Open Flow-based Software Defined Networking (SDN) controller to secure a network. We chose the POX controller, which is based on the Python programming language, from among various controllers. Furthermore, a detailed analysis of denial of service attacks against IoT devices has been carried out using Wireshark. Findings: SDN design allows networks to actively monitor traffic and diagnose threats, making network management easier. DoS & DDoS attack is simulated for IoT application which resulted in the loss of packets. Novelty: When compared to the traditional firewall where the internal traffic cannot be seen and filtered, SDN based firewall can filter the packet based on the policy defined. Here the experiment is carried out using open-source software.SDN security was built into the architecture to ensure the availability, integrity, and privacy of all connected resources and information. SDN-based Firewall is used as a solution against the denial of service attack. Through simulation, we have found and analyzed an efficient unsupervised method for detecting DDoS.

Keywords: Network Attack; Smart Devices; Security; Firewall; Software Defined Network

References

Jain S, Choudhari P, Srivastava A. The fundamentals of Internet of Things: Architectures, enabling technologies, and applications. Elsevier. 2021. Available from: https://doi.org/10.1016/B978-0-12-819664-9.00001-6
Tawalbeh L, Muheidat F, Tawalbeh M, Quwaider M. IoT Privacy and Security: Challenges and Solutions. Applied Sciences. 2020;10(12):4102. Available from: https://doi.org/10.3390/APP10124102
Hayajneh AA, Bhuiyan MZA, Mcandrew I. Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN) Computers. 2020;9(1):8. Available from: https://doi.org/10.3390/computers9010008
A survey on DoS/DDoS mitigation techniques in SDNs: Classification, comparison, solutions, testing tools and dataset. 2022. Available from: https://doi.org/10.1016/j.compeleceng.2022.107706
Eliyan LF, Pietro RD. DoS and DDoS attacks in Software Defined Networks: A survey of existing solutions and research challenges. Future Generation Computer Systems. 2021;122:149–171. Available from: https://doi.org/10.1016/j.future.2021.03.011
Alamri HA, Thayananthan V. Analysis of Machine Learning for Securing Software-Defined Networking. Procedia Computer Science. 2021;194:229–236. Available from: https://doi.org/10.1016/j.procs.2021.10.078
Abdelazim NM, Fahmy SF, Sobh MA, Eldin AMB. A hybrid entropy-based DoS attacks detection system for software defined networks (SDN): A proposed trust mechanism. Egyptian Informatics Journal. 2021;22(1):85–90. Available from: https://doi.org/10.1016/j.eij.2020.04.005
Singh J, Behal S. Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions. Computer Science Review. 2020;37:100279. Available from: https://doi.org/10.1016/j.cosrev.2020.100279
Chen W, Xiao S, Liu L, Jiang X, Tang Z. A DDoS attacks traceback scheme for SDN-based smart city. Computers & Electrical Engineering. 2020;81:106503. Available from: https://doi.org/10.1016/j.compeleceng.2019.106503
Rawlinson K. Internet of Things Behavioral-Economic Security Design, Actors & Cyber War. 2014. Available from: https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=2024873
Abosata N, Al-Rubaye S, Inalhan G, Emmanouilidis C. Internet of Things for System Integrity: A Comprehensive Survey on Security, Attacks and Countermeasures for Industrial Applications. Sensors. 2021;21(11):3654. Available from: https://doi.org/10.3390/s21113654
Al-Hadhrami Y, Hussain FK. DDoS attacks in IoT networks: a comprehensive systematic literature review. World Wide Web. 2021;24(3):971–1001. Available from: https://doi.org/10.1007/s11280-020-00855-2
Ison S, Budd L, Magdi S, Mahmoud YX. Distributed denial-of-service attacks. Cloud Control Systems. 2020;p. 51–76. Available from: https://doi.org/10.1016/b978-0-12-818701-2.00011-1
Hameed S, Khan FI, Hameed B. Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review. Journal of Computer Networks and Communications. 2019;2019:1–14. Available from: https://doi.org/10.1155/2019/9629381
Biševac S, Šarac M. SDN Approach in Development Iot Environments. Proceedings of the International Scientific Conference - Sinteza 2022. 2022;p. 449–456. Available from: https://doi.org/10.15308/Sinteza-2022-449-456

Copyright

© 2023 Jenny & Sugirtham. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)