Optimized ELM-Based IoT Attack Detection
Keywords:
IoT, Attack Detection, EAGTOA, W-ELM, Cybersecurity.Abstract
The Internet of Things (IoT) connects smart devices around the world, allowing them to
communicate and share data automatically. This technology helps collect large amounts of data
that can be used to improve everyday life and detect unusual behavior, or anomalies. However,
because IoT devices are so different from one another, traditional cybersecurity methods often
struggle to handle the variety of data they produce.
References
Ghosh, S., & Dasgupta, D. (2016). A survey on anomaly detection using Extreme Learning Machine. Journal of Big Data, 3(1), 1-25.
Wu, J., & Li, H. (2015). Anomaly detection in wireless sensor networks using improved ELM. Neurocomputing, 149, 1746–1753.
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Published
2023-12-13
How to Cite
Hari Suresh Babu Gummadi. (2023). Optimized ELM-Based IoT Attack Detection . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1223–1232. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2546
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