SRv6 and Zero-Trust Policy Enabled Graph Convolutional Neural Networks for Slicing Network Optimization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2025.3560000
Abstract: With the rapid advancement of technologies such as B5G/6G and edge computing, network scenarios are becoming increasingly complex and diverse, leading to the emergence of slicing networks. Virtualizing applications into distinct categories and establishing corresponding… read more here.
Keywords: zero trust; graph convolutional; segment; network ... See more keywords
Traffic Engineering in Partially Deployed Segment Routing Over IPv6 Network With Deep Reinforcement Learning
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DOI: 10.1109/tnet.2020.2987866
Abstract: Segment Routing (SR) is a source routing paradigm which is widely used in Traffic Engineering (TE). By using SR, a node steers a packet through an ordered list of instructions called segments. By some extensions… read more here.
Keywords: ipv6 network; srv6; partially deployed; segment routing ... See more keywords
Optimal Deployment of SRv6 to Enable Network Interconnection Service
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DOI: 10.1109/tnet.2021.3105959
Abstract: Many organizations nowadays have multiple sites at different geographic locations. Typically, transmitting massive data among these sites relies on the interconnection service offered by ISPs. Segment Routing over IPv6 (SRv6) is a new simple and… read more here.
Keywords: problem; srv6; interconnection; deployment ... See more keywords