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Khaled A. Alaghbari on Muck Rack

Khaled A. Alaghbari

As seen in: MDPI, Journal of Cloud Computing
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Articles

Electromagnetic Field-Aware Radio Resource Management for 5G and Beyond: A Survey

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By Mohammed Salem, Heng Siong Lim, Kah Seng Diong, Khaled A. Alaghbari
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

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By Khaled A. Alaghbari, Yik Seng Yong, Mohamad Hanif Md, Heng-Siong Lim
| MDPI
4. Results and Discussion 4.1. Datasets We used the N-BaIoT dataset, which contains real data collected from IoT devices connected to the network and infected by botnets such as Gafgyt (BASHLITE) and Mirai, as shown in Figure 3. The experiment setup included scanner and loader components, which were used for scanning and finding vulnerable IoT devices and loading malware into such devices.
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