53 citations · 61 across the 15 of their papers we have counts for
15 papers
Mitigating Proxy-Induced Traffic Drift in Website Fingerprinting via Model-Agnostic Traffic Tailoring
Linxiao Yu, Tianyu Cui, Xinhao Deng +4
Website fingerprinting (WF) based on deep learning can effectively identify websites from encrypted traffic. However, users often rely on proxy protocols to bypass censorship, and…
Understanding the Stealthy BGP Hijacking Risk in the ROV Era
Yihao Chen, Qi Li, Ke Xu +2
The partial deployment of Route Origin Validation (ROV) poses an unexpected security threat known as stealthy BGP hijacking, i.e., a particularly elusive form of BGP hijacking wher…
TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI
Qi Li, Zhenhua Zou, Shuo Li +2
AI agents increasingly access external models, tools, and services through Agentic Routing Infrastructure (ARI) to manage the overhead of heterogeneous interfaces and fragmented su…
Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System
Zhenhua Zou, Sheng Guo, Qiuyang Zhan +6
The evolution of Large Language Models (LLMs) has shifted mobile computing from App-centric interactions to system-level autonomous agents. Current implementations predominantly re…
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…
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
Jinzhu Yan, Haotian Xu, Zhuotao Liu +4
The emerging programmable networks sparked significant research on Intelligent Network Data Plane (INDP), which achieves learning-based traffic analysis at line-speed. Prior art in…
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan, Qi Li, Yi Zhao +3
Federated Learning (FL) trains a black-box and high-dimensional model among different clients by exchanging parameters instead of direct data sharing, which mitigates the privacy l…
Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System
Yihao Chen, Qilei Yin, Qi Li +6
BGP is the de facto inter-domain routing protocol to ensure global connectivity of the Internet. However, various reasons, such as deliberate attacks or misconfigurations, could ca…
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Yuqi Qing, Qilei Yin, Xinhao Deng +6
Machine learning (ML) is promising in accurately detecting malicious flows in encrypted network traffic; however, it is challenging to collect a training dataset that contains a su…
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Peiyang Li, Ye Wang, Qi Li +5
Recently unsupervised machine learning based systems have been developed to detect zero-day Web attacks, which can effectively enhance existing Web Application Firewalls (WAFs). Ho…
Secure Inter-domain Routing and Forwarding via Verifiable Forwarding Commitments
Xiaoliang Wang, Zhuotao Liu, Qi Li +6
The Internet inter-domain routing system is vulnerable. On the control plane, the de facto Border Gateway Protocol (BGP) does not have built-in mechanisms to authenticate routing a…
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Qi Li, Zhuotao Liu, Ke Xu
The development of machine learning models requires a large amount of training data. Data marketplaces are essential for trading high-quality, private-domain data not publicly avai…