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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<script src="vendor/jquery/jquery.min.js"></script>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="">
<meta name="author" content="">
<title>Network Operations and Internet Security Lab</title>
<!-- Bootstrap core CSS -->
<link href="vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">
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<link href="css/modern-business.css" rel="stylesheet">
</head>
<body>
<!-- Navigation -->
<div id="nav-placeholder"></div>
<script>
$.get("./navbar.html", function(data){
$("#nav-placeholder").replaceWith(data);
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<header>
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<div class="carousel-item active" style="background-image: url('./images/chicago-sunrise.png')">
<div class="carousel-caption d-none d-md-block">
<h3>Network Operations and Internet Security Lab</h3>
<p>We develop techniques, systems, and models for deriving insights from network traffic.</p>
</div>
</div>
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<center>
<div class="row align-middle">
<div class="col-2"> </div>
<div class="col-8 align-middle">
<div class="card text-black bg-light my-4 text-center" style="align:center">
<div class="card-body">
<p class="text-black m-0">
The Network Operations and Internet Security Lab at the University
of Chicago, led by <a
href="https://people.cs.uchicago.edu/~feamster/">Neubauer
Professor Nick Feamster</a>, develops data-driven
systems that derive insights from network traffic.
We also explore how network traffic can reveal insights
into human behavior.
These insights can help us understand
and improve network performance, security, and privacy, improve Internet access and affordability, and explore how the proliferation of networked devices can improve social outcomes. Read more about our projects below, or check out <a href="https://medium.com/noise-lab/">recent news</a>.</p>
</div>
</div>
</div>
</div>
</div>
</center>
<!-- Page Content -->
<div class="container">
<center>
<p />
</center>
<!-- Portfolio Section -->
<h2>Applications</h2>
<p>
We apply machine learning and statistical inference to network traffic
and other environmental signals in networked environments to (1) infer and
improve network performance; (2) infer human behavior and activities in a
wide range of circumstances (e.g., health, education); and (3) network
privacy and security.
</p>
<div class="row">
<div class="col-lg-4 col-sm-4 portfolio-item">
<div class="card h-100 border-0">
<center><a href="#"><img class="card-img-top" src="images/performance.png" alt=""></a></center>
<div class="card-body">
<h4 class="card-title">
<a href="./performance.html">Performance</a>
</h4>
<p class="card-text">We apply systems-driven network measurement
and inference techniques to measure network performance,
application quality, and user quality of experience (QoE).</p>
</div>
</div>
</div>
<div class="col-lg-4 col-sm-4 portfolio-item">
<div class="card h-100 border-0">
<center><a href="#"><img class="card-img-top" src="images/running-shoes.png" alt=""></a></center>
<div class="card-body">
<h4 class="card-title">
<a href="./recognition.html">Activity Recognition</a>
</h4>
<p class="card-text">We apply machine learning and inference
techniques to derive information about human activity from network
traffic and other environmental signals.</p>
</div>
</div>
</div>
<div class="col-lg-4 col-sm-4 portfolio-item">
<div class="card h-100 border-0">
<center><a href="#"><img class="card-img-top" src="images/zoom.png" alt=""></a></center>
<div class="card-body">
<h4 class="card-title">
<a href="./security.html">Security and Privacy</a>
</h4>
<p class="card-text">We apply machine learning to understand and
mitigate security and privacy threats from our increasingly
connected world.</p>
</div>
</div>
</div>
</div>
<!-- /.row -->
<h2>Foundations</h2>
<p>
We develop techniques for improving network inference,
including the exploration of data representation for network modeling
problems, efficient models, and operational models for network analytics.
</p>
<div class="row">
<div class="col-lg-2"></div>
<div class="col-lg-4 col-sm-4 portfolio-item">
<div class="card h-100 border-0">
<center><a href="#"><img class="card-img-top" src="images/file.png" alt=""></a></center>
<div class="card-body">
<h4 class="card-title">
<a href="./representation.html">Data Representation</a>
</h4>
<p class="card-text">We explore efficient representations for
network traffic for both supervised and unsupervised learning
problems.</p>
</div>
</div>
</div>
<div class="col-lg-4 col-sm-4 portfolio-item">
<div class="card h-100 border-0">
<center><a href="#"><img class="card-img-top" src="images/dashboard.png" alt=""></a></center>
<div class="card-body">
<h4 class="card-title">
<a href="./analytics.html">Operational Analytics</a>
</h4>
<p class="card-text">We develop systems and models to enable
operational network analytics, including cost-sensitive models and
model drift.
</p>
</div>
</div>
</div>
</div>
<!-- /.row -->
<hr>
<!-- Call to Action Section -->
<div class="row mb-4">
<div class="col-md-8">
<small>
<p>We publish papers in top-tier networking, security, and machine
learning/modeling conferences, also also regularly publish
<a href="https://github.com/noise-lab/">open-source software</a>.
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.</p>
</small>
</div>
<div class="col-md-2">
<a class="btn btn-lg btn-secondary btn-block" href="https://github.com/noise-lab">Software</a>
</div>
<div class="col-md-2">
<a class="btn btn-lg btn-secondary btn-block" href="#">Contact Us</a>
</div>
</div>
</div>
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<script>
$(function(){
$("#footer-ph").load("./footer.html");
});
</script>
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<script src="vendor/jquery/jquery.min.js"></script>
<script src="vendor/bootstrap/js/bootstrap.bundle.min.js"></script>
</body>
</html>