The Network Operations and Internet Security Lab, led by Neubauer Professor Nick Feamster, develops data-driven systems that derive insights from network traffic.
We apply machine learning and AI to network traffic to improve network performance, security, and privacy. Research includes traffic classification, anomaly detection, and predictive modeling.
We develop systems and methods for measuring and improving Internet access, performance, and affordability. Research includes broadband measurement, network performance diagnosis, and policy analysis.
We study Internet censorship and online speech, developing measurement techniques to understand how content is filtered and tools to circumvent censorship.
We study security and privacy threats from network traffic and connected devices, developing techniques to detect attacks and mitigate privacy risks in smart homes and networked systems. IoT Lab
We publish papers in top-tier networking, security, and machine learning/modeling conferences, and also regularly publish open-source software. An important value of our lab is real-world impact, through the deployment of operational systems. Contact us to learn more about the group, including how to join.