activity
20162023
most citedNew Directions in Automated Traffic Analysis

143 citations · 351 across the 20 of their papers we have counts for

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Showing cs.NIShow all

17 papers · 1 filter

cs.NI2023

Internet Localization of Multi-Party Relay Users: Inherent Friction Between Internet Services and User Privacy

Sean Flynn, Francesco Bronzino, Paul Schmitt

Internet privacy is increasingly important on the modern Internet. Users are looking to control the trail of data that they leave behind on the systems that they interact with. Mul…

cs.NI2023

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…

cs.NI2022★ 1 cited

Enabling Personalized Video Quality Optimization with VidHoc

Xu Zhang, Paul Schmitt, Marshini Chetty +2

The emerging video applications greatly increase the demand in network bandwidth that is not easy to scale. To provide higher quality of experience (QoE) under limited bandwidth, a…

cs.NI2022★ 6 cited

Towards Reproducible Network Traffic Analysis

Jordan Holland, Paul Schmitt, Prateek Mittal +1

Analysis techniques are critical for gaining insight into network traffic given both the higher proportion of encrypted traffic and increasing data rates. Unfortunately, the domain…

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.NI2020★ 28 cited

Characterizing Service Provider Response to the COVID-19 Pandemic in the United States

Shinan Liu, Paul Schmitt, Francesco Bronzino +1

The COVID-19 pandemic has resulted in dramatic changes to the daily habits of billions of people. Users increasingly have to rely on home broadband Internet access for work, educat…

cs.NI2020★ 20 cited

Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic

Francesco Bronzino, Paul Schmitt, Sara Ayoubi +3

Network management often relies on machine learning to make predictions about performance and security from network traffic. Often, the representation of the traffic is as importan…

cs.NI2020★ 2 cited

Pretty Good Phone Privacy

Paul Schmitt, Barath Raghavan

To receive service in today's cellular architecture, phones uniquely identify themselves to towers and thus to operators. This is now a cause of major privacy violations, as operat…

cs.NI2020★ 19 cited

Can Encrypted DNS Be Fast?

Austin Hounsel, Paul Schmitt, Kevin Borgolte +1

In this paper, we study the performance of encrypted DNS protocols and conventional DNS from thousands of home networks in the United States, over one month in 2020. We perform the…

cs.NI2020★ 2 cited

Classifying Network Vendors at Internet Scale

Jordan Holland, Ross Teixeira, Paul Schmitt +4

In this paper, we develop a method to create a large, labeled dataset of visible network device vendors across the Internet by mapping network-visible IP addresses to device vendor…

cs.NI2020★ 10 cited

Beyond the Trees: Resilient Multipath for Last-mile WISP Networks

Bilal Saleem, Paul Schmitt, Jay Chen +1

Expanding the reach of the Internet is a topic of widespread interest today. Google and Facebook, among others, have begun investing substantial research efforts toward expanding I…

cs.NI2020★ 8 cited

Encryption without Centralization: Distributing DNS Queries Across Recursive Resolvers

Austin Hounsel, Paul Schmitt, Kevin Borgolte +1

Emerging protocols such as DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT) improve the privacy of DNS queries and responses. While this trend towards encryption is positive, deployment…

cs.NI2019★ 50 cited

Comparing the Effects of DNS, DoT, and DoH on Web Performance

Austin Hounsel, Kevin Borgolte, Paul Schmitt +2

Nearly every service on the Internet relies on the Domain Name System (DNS), which translates a human-readable name to an IP address before two endpoints can communicate. Today, DN…

cs.NI2019★ 23 cited

Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience

Paul Schmitt, Francesco Bronzino, Sara Ayoubi +3

Inferring the quality of streaming video applications is important for Internet service providers, but the fact that most video streams are encrypted makes it difficult to do so. W…

cs.NI2018★ 14 cited

Oblivious DNS: Practical Privacy for DNS Queries

Paul Schmitt, Anne Edmundson, Nick Feamster

Virtually every Internet communication typically involves a Domain Name System (DNS) lookup for the destination server that the client wants to communicate with. Operators of DNS r…

cs.NI2017★ 2 cited

OCDN: Oblivious Content Distribution Networks

Anne Edmundson, Paul Schmitt, Nick Feamster +1

As publishers increasingly use Content Distribution Networks (CDNs) to distribute content across geographically diverse networks, CDNs themselves are becoming unwitting targets of…

cs.NI2016★ 4 cited

Rangzen: Anonymously Getting the Word Out in a Blackout

Adam Lerner, Giulia Fanti, Yahel Ben-David +3

In recent years governments have shown themselves willing to impose blackouts to shut off key communication infrastructure during times of civil strife, and to surveil citizen comm…