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Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things

Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things

Opeyemi Peter Ojajuni, Yasser Ismail, Albertha Lawson
Copyright: © 2020 |Volume: 11 |Issue: 2 |Pages: 15
ISSN: 1947-9301|EISSN: 1947-931X|EISBN13: 9781799806387|DOI: 10.4018/IJTD.2020040102
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MLA

Ojajuni, Opeyemi Peter, et al. "Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things." IJTD vol.11, no.2 2020: pp.18-32. http://doi.org/10.4018/IJTD.2020040102

APA

Ojajuni, O. P., Ismail, Y., & Lawson, A. (2020). Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things. International Journal of Technology Diffusion (IJTD), 11(2), 18-32. http://doi.org/10.4018/IJTD.2020040102

Chicago

Ojajuni, Opeyemi Peter, Yasser Ismail, and Albertha Lawson. "Distributed Denial-of-Service Attack Detection and Mitigation for the Internet of Things," International Journal of Technology Diffusion (IJTD) 11, no.2: 18-32. http://doi.org/10.4018/IJTD.2020040102

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Abstract

The Internet of Things (IoT) allows different devices with internet protocol (IP) address to be connected together via the internet to collect, provide, store, and exchange data amongst themselves. The distributed denial of service (DDoS) attack is one of the inevitable challenges which should be addressed in the development of the IoT. A DDoS attack has the potential to render a victim's services unavailable, which can then lead to additional challenges such as website outage, financial loss, reputational damage and loss of confidential information. In this article, a framework of the SDN controller via an application programming interface (API) is compared to an existing framework. SDN provides a new architecture that can detect and mitigate a DDoS attack so that it makes the networking functionalities programmable via the API and also it centralizes the control management of the IoT devices. Experimental results show the capability of the SDN framework to analyze a real-time traffic of the SDN controller via the API by setting a control bandwidth usage threshold using the API.

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