FOSS: Towards fine-grained unknown class detection against the open-set attack spectrum with variable legitimate traffic
Anomaly-based network intrusion detection systems (NIDSs) are essential for ensuring cybersecurity. However, the security communities realize some limitations when they put most existing proposals into practice. The challenges are mainly concerned with (i) fine-grained unknown attack detection and (...
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Main Authors: | , , , , , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9363 https://ink.library.smu.edu.sg/context/sis_research/article/10363/viewcontent/FOSS_2024_av.pdf |
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Institution: | Singapore Management University |
Language: | English |