Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements

JH Duan, W Li, X Zhang, S Lu - Computer Networks, 2022 - Elsevier
With the rapid development of wireless technology and the edge computing applications, an
increasing number of 4G/5G infrastructure are densely deployed to meet the booming …

[HTML][HTML] Mobile QoE prediction in the field

E Boz, B Finley, A Oulasvirta, K Kilkki… - Pervasive and Mobile …, 2019 - Elsevier
Quality of experience (QoE) models quantify the relationship between user experience and
network quality of service. With the exception of a few studies, most research on QoE has …

Understanding open ports in Android applications: Discovery, diagnosis, and security assessment

D Wu, D Gao, RKC Chang, E He, EKT Cheng… - 2019 - ink.library.smu.edu.sg
Open TCP/UDP ports are traditionally used by servers to provide application services, but
they are also found in many Android apps. In this paper, we present the first open-port …

The cloud that runs the mobile internet: A measurement study of mobile cloud services

F Michclinakis, H Doroud… - … -IEEE Conference on …, 2018 - ieeexplore.ieee.org
Mobile applications outsource their cloud infrastructure deployment and content delivery to
cloud computing services and content delivery networks. Studying how these services …

Measuring the declared SDK versions and their consistency with API calls in Android apps

D Wu, X Liu, J Xu, D Lo, D Gao - … , WASA 2017, Guilin, China, June 19-21 …, 2017 - Springer
Android has been the most popular smartphone system, with multiple platform versions (eg,
KITKAT and Lollipop) active in the market. To manage the application's compatibility with …

Inferring regional access network topologies: Methods and applications

Z Zhang, A Marder, R Mok, B Huffaker… - Proceedings of the 21st …, 2021 - dl.acm.org
Using a toolbox of Internet cartography methods, and new ways of applying them, we have
undertaken a comprehensive active measurement-driven study of the topology of US …

{MopEye}: Opportunistic Monitoring of Per-app Mobile Network Performance

D Wu, RKC Chang, W Li, EKT Cheng… - 2017 USENIX Annual …, 2017 - usenix.org
Crowdsourcing mobile user's network performance has become an effective way of
understanding and improving mobile network performance and user quality-of-experience …

MSYM: A multichannel communication system for android devices

W Wang, D Tian, W Meng, X Jia, R Zhao, R Ma - Computer Networks, 2020 - Elsevier
Conventional mobile communication systems often use one single channel for data
transmission, ie, mobile devices use cellular network to transfer multimedia information …

Detecting anomaly in large-scale network using mobile crowdsourcing

Y Li, J Sun, W Huang, X Tian - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we propose a tree modeling-based data mining method to detect anomalies
from crowdsourced network data. We design an algorithm to extract potential network …

Towards dynamically monitoring android applications on non-rooted devices in the wild

X Tang, Y Lin, D Wu, D Gao - Proceedings of the 11th ACM Conference …, 2018 - dl.acm.org
Dynamic analysis is an important technique to reveal sensitive behavior of Android apps.
Current works require access to the code-level and system-level events (eg, API calls and …