Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource DDoS Intrusions Detection in Low Power SD-IoT Devices Leveraging Effective Machine Learning Subject The topic of the resource DDoS attacks; Decision making; Low power IoT; Machine learning; SDN Description An account of the resource Security and privacy are significant concerns in software-defined networking (SDN)-applied Internet of Things (IoT) environments, due to the proliferation of connected devices and the potential for cyberattacks. Hence, robust security mechanisms need to be developed, including authentication, encryption, and distributed denial of service (DDoS) attack detection, tailored to the constraints of low-power IoT devices. Selecting a suitable tiny machine learning (TinyML) algorithm for low-power IoT devices for DDoS attack detection involves considering various factors such as computational complexity, robustness in dealing with heterogeneous data, accuracy, and the specific constraints of the target IoT device. In this paper, we present a two-fold approach for the optimal TinyML algorithm selection leveraging the hybrid analytical network process (HANP). First, we make a comparative analysis (qualitative) of the machine learning algorithm in the context of suitability for TinyML in the domain of SD-IoT devices and generate the weights of suitability for TinyML applications in SD-IoT. Then we evaluate the performance of the machine learning algorithms and validate the results of the model to demonstrate the effectiveness of the proposed method. Finally, we see the effect of dimensionality reduction with respect to features and how it affects the precision, recall, accuracy, and F1 score. The results demonstrate the effectiveness of the scheme. 1975-2011 IEEE. Creator An entity primarily responsible for making the resource Ali J.; Song H.H.; Sharma V.; Al-Khasawneh M.A. Source A related resource from which the described resource is derived IEEE Transactions on Consumer Electronics Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TCE.2024.3472707" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TCE.2024.3472707</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206344971&amp;doi=10.1109%2FTCE.2024.3472707&amp;partnerID=40&amp;md5=44d404dc7c55e8009a82ef4c770011b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206344971&amp;doi=10.1109%2fTCE.2024.3472707&amp;partnerID=40&amp;md5=44d404dc7c55e8009a82ef4c770011b9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 983063; CODEN: ITCED Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ali J., Ajou University, Department of Ai Convergence Network, Suwon, South Korea; Song H.H., Department of Information Systems, University of Maryland, Baltimore County (UMBC), 1000 Hilltop Circle, Baltimore, 21250, MD, United States; Sharma V., Christ University, India; Al-Khasawneh M.A., Skyline University College, University City Sharjah, School of Computing, Sharjah, 1797, United Arab Emirates, Applied Science Private University, Applied Science Research Center, Amman, Jordan, Jadara University Research Center, Jordan