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Found 4 papers, 1 papers with code
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity
(4) We demonstrate how our models scale in environments with a large number of connected IoTs (with datasets collected from a network of IP cameras in our university campus) by considering various training strategies (per device unit versus per device type), and balancing the accuracy of prediction against the cost of models in terms of size and training time.
Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation
Our contributions are four-fold: (1) We analyze about 23, 000 video streams from Twitch and YouTube, and identify key features in their traffic profile that differentiate live and on-demand streaming.
Modeling Classroom Occupancy using Data of WiFi Infrastructure in a University Campus
Universities worldwide are experiencing a surge in enrollments, therefore campus estate managers are seeking continuous data on attendance patterns to optimize the usage of classroom space.
Verifying and Monitoring IoTs Network Behavior using MUD Profiles
Our first contribution is to develop a tool that takes the traffic trace of an arbitrary IoT device as input and automatically generates the MUD profile for it.
Networking and Internet Architecture
