Multipath Encrypted Traffic Classification at the Transport Layer for Dynamic Reliability

Omar Nassef, Stephen Johnson,Toktam Mahmoodi

2024 IEEE Wireless Communications and Networking Conference (WCNC)(2024)

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摘要
The use of multipath transport protocols in explored in Beyond 5G services given the various capabilities it could add to the service delivery. One of such is the possibility of exploiting multiple access connectivity, i.e. using multiple interface of the device concurrently, as well as dynamic adaptation of reliability at the transport layer. In this work, we present traffic classification that will then allow encrypted data to be classified for different level of reliability, hence enabling the delivery of dynamic reliability at the multipath transport protocol. The results show a significant improvement of up to 45 % in data overhead and of up to 20% reduction in end-to-end application-level latency, in comparison to the standard MP-QUIC implementation and intelligent state of the art reliability policies.
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关键词
xURLLC,5GB,6G,Encrypted,Traffic Classification,Dynamic Reliability,Partial Reliability,Deep Learning
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