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Dealing with Imbalanced Classes in Bot-IoT Dataset
March 29, 2024, 4:10 a.m. | Jesse Atuhurra, Takanori Hara, Yuanyu Zhang, Masahiro Sasabe, Shoji Kasahara
cs.CR updates on arXiv.org arxiv.org
Abstract: With the rapidly spreading usage of Internet of Things (IoT) devices, a network intrusion detection system (NIDS) plays an important role in detecting and protecting various types of attacks in the IoT network. To evaluate the robustness of the NIDS in the IoT network, the existing work proposed a realistic botnet dataset in the IoT network (Bot-IoT dataset) and applied it to machine learning-based anomaly detection. This dataset contains imbalanced normal and attack packets because …
a network arxiv attacks bot cs.ai cs.cr dataset detection devices important internet internet of things intrusion intrusion detection intrusion detection system iot iot network network network intrusion nids protecting robustness role system things types work
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