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- W2358093143 abstract "With the data volume soaring in high speed network link,more and more popular applications use dynamic ports or other protocols as wrappers,leading to traditional traffic classification method less reliable. A new method is proposed based on link homophily in application layer traffic. This method combines the statistical relational learning method and the trace graph digging method. The statistical dependencies between flows is analysed that they share common IP hosts in trace graph. And these dependencies are utilized to classify application layer traffic without the payloads and properties at the flow level. In all the experimental traces,our method achieves above 80% accuracy." @default.
- W2358093143 created "2016-06-24" @default.
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- W2358093143 date "2013-01-01" @default.
- W2358093143 modified "2023-09-23" @default.
- W2358093143 title "Application Layer Traffic Classification Based on Link Homophily" @default.
- W2358093143 hasPublicationYear "2013" @default.
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