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- W4377993218 abstract "Intrusion detection plays a key role in a modern cyber security system. In recent years, several research studies have utilized state-of-the-art machine learning algorithms to perform the task of intrusion detection. However, most of the published works focus on the problem of binary classification. In this work, we extend the intrusion detection system to multi-class classification. We use the recent intrusion dataset that reflects the modern attacks on computer systems. We show that we can efficiently classify the attacks to attack groups." @default.
- W4377993218 created "2023-05-25" @default.
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- W4377993218 date "2023-01-01" @default.
- W4377993218 modified "2023-10-18" @default.
- W4377993218 title "Multi-layer Intrusion Detection on the USB-IDS-1 Dataset" @default.
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- W4377993218 doi "https://doi.org/10.1007/978-3-031-27409-1_102" @default.
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