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Yik Seng Yong

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Articles

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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