29 citations · 87 across the 7 of their papers we have counts for
7 papers
Predicting IPv4 Services Across All Ports
Liz Izhikevich, Renata Teixeira, Zakir Durumeric
Internet-wide scanning is commonly used to understand the topology and security of the Internet. However, IPv4 Internet scans have been limited to scanning only a subset of service…
LZR: Identifying Unexpected Internet Services
Liz Izhikevich, Renata Teixeira, Zakir Durumeric
Internet-wide scanning is a commonly used research technique that has helped uncover real-world attacks, find cryptographic weaknesses, and understand both operator and miscreant b…
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…
A Theory of Auto-Scaling for Resource Reservation in Cloud Services
Konstantinos Psychas, Javad Ghaderi
We consider a distributed server system consisting of a large number of servers, each with limited capacity on multiple resources (CPU, memory, disk, etc.). Jobs with different rew…
The Challenges of Trace-Driven Wi-Fi Emulation
Mohammad Imran Syed, Renata Teixeira, Sara Ayoubi +1
Wi-Fi link is unpredictable and it has never been easy to measure it perfectly; there is always bound to be some bias. As wireless becomes the medium of choice, it is useful to cap…
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…