With the emergence of Internet of Things (IoT), securing and managing large, complex
enterprise network infrastructure requires capturing and analyzing network traffic traces in …

TCP throughput and RTT prediction are essential to model TCP behavior and optimize
network configurations. Flows adapt their sending rate to network parameters like link …

Securing and managing large, complex enterprise network infrastructure requires capturing
and analyzing network traffic traces in real-time. An accurate passive Operating System (OS) …

Deployment of the Internet of Things (IoT) in industries have enabled remote control of
various mechanical system over the Internet. It is known that such networked control systems …

Similarity-Based Fast Analysis of Data Center Networks Page 1 1 Similarity-Based Fast
Analysis of Data Center Networks Shruti Yadav Narayana1, Emily Shriver2, Kenneth O’Neal2 …

The current 5G era has met expectations for high data rates and low latency, yet falls short in
delivering resilient and ubiquitous connectivity. The terrestrial 5G technology, while …

A wireless networked control system (WNCS) may suffer from an abrupt and large network
communication delay that may degrade the control performance and lead to the instability of …

Predicting network metrics with high accuracy is a challenging task. Network Latency
prediction allows Network Operators (NO), Internet Service Providers (ISP), and Over The …

Round-trip time (RTT) and throughput are two of the most important parameters that in
networks with transmission control protocol (TCP). Deep learning-based time-series …

This study focuses on the use of machine learning techniques to predict three important
telecommunication parameters in the context of metro passengers itineraries. These …