3 papers
cs.NI2026
On the Role of Time Series Clustering in Traffic Matrix Prediction
Martha Cash, Charlotte Fowler, Alexander M. Wyglinski
This paper analyzes the role of time-series clustering in traffic matrix (TM) prediction. Traffic flows within a TM often exhibit heterogeneous behavior, which can reduce the effec…
cs.CR2025
EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel
Haowen Xu, Tianya Zhao, Xuyu Wang +4
Palm recognition has emerged as a dominant biometric authentication technology in critical infrastructure. These systems operate in either single-modal form, using palmprint or pal…
cs.LG2025
Improving Internet Traffic Matrix Prediction via Time Series Clustering
Martha Cash, Alexander Wyglinski
We present a novel framework that leverages time series clustering to improve internet traffic matrix (TM) prediction using deep learning (DL) models. Traffic flows within a TM oft…