A method for out-of-distribution detection in encrypted mobile traffic classification
The widespread use of encrypted communication in mobile networks poses significant challenges in accurately classifying traffic. Detecting out-of-distribution (OOD) samples, which significantly deviate from known classes, adds complexity to the task. This dissertation proposes a feature analysis-bas...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/174569 |
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Institution: | Nanyang Technological University |
Language: | English |