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Optimizing Internet of Things Device Security with a Globalized Firefly Optimization Algorithm for Attack Detection

Arkan Kh Shakr Sabonchi*

Department of Mathematics, Open Educational College, Kirkuk Branch, Kirkuk, 36001, Iraq

* Corresponding Author: Arkan Kh Shakr Sabonchi. Email: email

Journal on Artificial Intelligence 2024, 6, 301-322. https://doi.org/10.32604/jai.2024.056552

Abstract

The phenomenal increase in device connectivity is making the signaling and resource-based operational integrity of networks at the node level increasingly prone to distributed denial of service (DDoS) attacks. The current growth rate in the number of Internet of Things (IoT) attacks executed at the time of exchanging data over the Internet represents massive security hazards to IoT devices. In this regard, the present study proposes a new hybrid optimization technique that combines the firefly optimization algorithm with global searches for use in attack detection on IoT devices. We preprocessed two datasets, CICIDS and UNSW-NB15, to remove noise and missing values. The next step is to perform feature extraction using principal component analysis (PCA). Next, we utilize a globalized firefly optimization algorithm (GFOA) to identify and select vectors that indicate low-rate attacks. We finally switch to the Naïve Bayes (NB) classifier at the classification stage to compare it with the traditional extreme gradient boosting classifier in this attack-dimension classifying scenario, demonstrating the superiority of GFOA. The study concludes that the method by GFOA scored outstandingly, with accuracy, precision, and recall levels of 89.76%, 84.7%, and 90.83%, respectively, and an F-measure of 91.11% against the established method that had an F-measure of 64.35%.

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Cite This Article

APA Style
Sabonchi, A.K.S. (2024). Optimizing internet of things device security with a globalized firefly optimization algorithm for attack detection. Journal on Artificial Intelligence, 6(1), 301-322. https://doi.org/10.32604/jai.2024.056552
Vancouver Style
Sabonchi AKS. Optimizing internet of things device security with a globalized firefly optimization algorithm for attack detection. J Artif Intell . 2024;6(1):301-322 https://doi.org/10.32604/jai.2024.056552
IEEE Style
A.K.S. Sabonchi, “Optimizing Internet of Things Device Security with a Globalized Firefly Optimization Algorithm for Attack Detection,” J. Artif. Intell. , vol. 6, no. 1, pp. 301-322, 2024. https://doi.org/10.32604/jai.2024.056552



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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