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20112023
most citedMachine Learning DDoS Detection for Consumer Internet of Things Devices

681 citations · 2.9k across the 62 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.NI2021★ 4 cited

Measuring the Consolidation of DNS and Web Hosting Providers

Synthia Wang, Kyle MacMillan, Brennan Schaffner +2

Despite the Internet's continued growth, it increasingly depends on a small set of service providers to support Domain Name System (DNS) and web content hosting. This trend poses m…

cs.NI2021★ 19 cited

LEAF: Navigating Concept Drift in Cellular Networks

Shinan Liu, Francesco Bronzino, Paul Schmitt +5

Operational networks commonly rely on machine learning models for many tasks, including detecting anomalies, inferring application performance, and forecasting demand. Yet, model a…

cs.NI2021

Measuring the Performance and Network Utilization of Popular Video Conferencing Applications

Kyle MacMillan, Tarun Mangla, James Saxon +1

Video conferencing applications (VCAs) have become a critical Internet application, even more so during the COVID-19 pandemic, as users worldwide now rely on them for work, school,…

cs.NI2021

GPS-Based Geolocation of Consumer IP Addresses

James Saxon, Nick Feamster

This paper uses two commercial datasets of IP addresses from smartphones, geolocated through the Global Positioning System (GPS), to characterize the geography of IP address subnet…

cs.NI2021★ 39 cited

An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

Kun Yang, Samory Kpotufe, Nick Feamster

Insecure Internet of things (IoT) devices pose significant threats to critical infrastructure and the Internet at large; detecting anomalous behavior from these devices remains of…

cs.HC2021

Software-Supported Audits of Decision-Making Systems: Testing Google and Facebook's Political Advertising Policies

J. Nathan Matias, Austin Hounsel, Nick Feamster

How can society understand and hold accountable complex human and algorithmic decision-making systems whose systematic errors are opaque to the public? These systems routinely make…