On the data privacy practices of Android OEMs.

In this paper we present the first in-depth measurement study looking at the data privacy practices of the proprietary variants of the Android OS produced by Samsung, Xiaomi, Huawei and Realme. We address two questions: how are identifiers used in network connections and what types of data are transmitted. To answer these, we decrypt and decode the network traffic transmitted by a range of Android handsets.

TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks.

The Covid-19 pandemic has forced the workforce to switch to working from home, which has put significant burdens on the management of broadband networks and called for intelligent service-by-service resource optimization at the network edge. In this context, network traffic prediction is crucial for operators to provide reliable connectivity across large geographic regions. Although recent advances in neural network design have demonstrated potential to effectively tackle forecasting, in this work we reveal based on real-world measurements that network traffic across different regions differs widely.