A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset
Intrusion detection is a critical component of cybersecurity, enabling timely identification and mitigation of network threats. This study proposes a novel two-stage intrusion detection framework using the CSE-CIC-IDS2018 dataset, a comprehensive and realistic benchmark for network traffic analysis....
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Knowledge |
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| Online Access: | https://www.mdpi.com/2673-9585/5/1/6 |
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