A lightweight decentralized-learning-based automatic modulation classification method for resource-constrained edge devices

B Dong, Y Liu, G Gui, X Fu, H Dong… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Due to the computing capability and memory limitations, it is difficult to apply the traditional
deep learning (DL) models to the edge devices (EDs) for realizing lightweight automatic …

A simplified machine learning approach to classifying individual websites

T Burns, C Song, I Seskar, J Ortiz… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
We quantify the classification accuracy of Neural Networks (NNs) to specific websites using
only the packet size and difference in inter-packet arrival time, which are easily observable …

Synthetic wireless signal generation for neural network algorithms

TL Burns, RP Martin, J Ortiz, I Seskar… - … IEEE Conference on …, 2021 - ieeexplore.ieee.org
As the use of wireless communication devices increases, so does the need for effective
signal generation techniques. We show how different methods of waveform generation with …

Evaluating Neural Networks for Multi-Layer Network Feature Classification

TL Burns - 2023 - search.proquest.com
Technology advancements over the past decades have led to massive growth in the number
and kinds of networked devices. As a result of these improvements, network traffic has …