Improved KNN Algorithm for Fine-Grained Classification of Encrypted Network Flow
The fine-grained classification of encrypted traffic is important for network security analysis. Malicious attacks are usually encrypted and simulated as normal application or content traffic. Supervised machine learning methods are widely used for traffic classification and show good performances....
Main Authors: | Chencheng Ma, Xuehui Du, Lifeng Cao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/2/324 |
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