4 papers
NetLexicon: Learning Discrete Behavioral Representations for Encrypted Web Traffic Analysis
Xiangyu Gao, Tong Li, Ziqiang Wang +9
Encrypted Web traffic analysis requires effective representations of observable communication behavior. Existing pretraining methods often adapt NLP/CV objectives and sequence arch…
FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable Switches
Xiangyu Gao, Tong Li, Yinchao Zhang +4
Machine learning (ML) is increasingly used in network data planes for advanced traffic analysis, but existing solutions (such as FlowLens, N3IC, BoS) still struggle to simultaneous…
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
Yinchao Zhang, Su Yao, Yong Feng +9
The paradigm of Intelligent DataPlane (IDP) embeds deep learning (DL) models on the network dataplane to enable intelligent traffic analysis at line-speed. However, the current use…
ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks
Wenquan Xu, Zijian Zhang, Yong Feng +8
In-Network Computing (INC) has found many applications for performance boosts or cost reduction. However, given heterogeneous devices, diverse applications, and multi-path network…