4 papers
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…
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
Tianyu Cui, Xinjie Lin, Sijia Li +4
Machine learning (ML) powered network traffic analysis has been widely used for the purpose of threat detection. Unfortunately, their generalization across different tasks and unse…
Towards Robust Multi-tab Website Fingerprinting
Xinhao Deng, Xiyuan Zhao, Qilei Yin +5
Website fingerprinting enables an eavesdropper to determine which websites a user is visiting over an encrypted connection. State-of-the-art website fingerprinting (WF) attacks hav…
Towards Fine-Grained Webpage Fingerprinting at Scale
Xiyuan Zhao, Xinhao Deng, Qi Li +4
Website Fingerprinting (WF) attacks can effectively identify the websites visited by Tor clients via analyzing encrypted traffic patterns. Existing attacks focus on identifying dif…