Embedding machine learning (ML) models in programmable switches realizes the vision of
high-throughput and low-latency inference at line rate. Recent works have made …

In-network ML-based traffic classification using programmable switches has enabled faster
decisions and reduced security infrastructure's cost and management overheads. However …

To improve the accuracy of network attack detection, recent work has proposed deep
learning (DL) based detectors. Nonetheless, conventional DL-based solutions are …

The deployment of Machine Learning (ML) models in the user plane enables line-rate in-
network inference, significantly reducing latency and improving the scalability of functions …

Neural networks (NNs) are widely used in classification-based networking analysis to help
traffic transmission and system security. However, there are heterogeneous network devices …

To achieve fast and accurate attack detection, some works manually tailor neural networks
(NNs) for deployment on CPUs of gateways, routers, or even programmable switches …

IoT technology establishes a platform for automating services by connecting diverse objects
through the Internet backbone. However, the integration of IoT networks also introduces …

This paper investigates a new attack method called" near-source attack". It leverages the
broadcast frames of the 802.11 protocol to establish a hidden tunnel and bypass physical …

Growing network complexity has rendered human-in-the-loop network management
approaches obsolete. The advent of Software-Defined Networking (SDN) has enabled …

IoT technology and IoT smart devices are being used widely in recent years. As the devices
and services are being developed with more sophisticated technologies, their security is a …