18 citations · 41 across the 9 of their papers we have counts for
9 papers
NetSSM: Multi-Flow and State-Aware Network Trace Generation using State Space Models
Andrew Chu, Xi Jiang, Shinan Liu +4
Access to raw network traffic data is essential for many computer networking tasks, from traffic modeling to performance evaluation. Unfortunately, this data is scarce due to high…
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs
Xi Jiang, Aaron Gember-Jacobson, Nick Feamster
Model checkers and consistency checkers detect critical errors in router configurations, but these tools require significant manual effort to develop and maintain. LLM-based Q&A mo…
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing
Siddhant Ray, Xi Jiang, Jack Luo +2
Low Latency, Low Loss, and Scalable Throughput (L4S), as an emerging router-queue management technique, has seen steady deployment in the industry. An L4S-enabled router assigns ea…
Feasibility of State Space Models for Network Traffic Generation
Andrew Chu, Xi Jiang, Shinan Liu +4
Many problems in computer networking rely on parsing collections of network traces (e.g., traffic prioritization, intrusion detection). Unfortunately, the availability and utility…
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson +4
Datasets of labeled network traces are essential for a multitude of machine learning (ML) tasks in networking, yet their availability is hindered by privacy and maintenance concern…
Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country
Sadia Nourin, Van Tran, Xi Jiang +4
Since 2006, Turkmenistan has been listed as one of the few Internet enemies by Reporters without Borders due to its extensively censored Internet and strictly regulated information…
AC-DC: Adaptive Ensemble Classification for Network Traffic Identification
Xi Jiang, Shinan Liu, Saloua Naama +3
Accurate and efficient network traffic classification is important for many network management tasks, from traffic prioritization to anomaly detection. Although classifiers using p…
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
Jacob Brown, Xi Jiang, Van Tran +5
The proliferation of global censorship has led to the development of a plethora of measurement platforms to monitor and expose it. Censorship of the domain name system (DNS) is a k…
Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions
Xi Jiang, Noah Apthorpe
Consumer Internet of things research often involves collecting network traffic sent or received by IoT devices. These data are typically collected via crowdsourcing or while resear…