Maps: Scaling privacy compliance analysis to a million apps

S Zimmeck, P Story, D Smullen… - Proceedings on …, 2019 - petsymposium.org
The app economy is largely reliant on data collection as its primary revenue model. To
comply with legal requirements, app developers are often obligated to notify users of their …

Beyond google play: A large-scale comparative study of chinese android app markets

H Wang, Z Liu, J Liang, N Vallina-Rodriguez… - Proceedings of the …, 2018 - dl.acm.org
China is one of the largest Android markets in the world. As Chinese users cannot access
Google Play to buy and install Android apps, a number of independent app stores have …

Cid: Automating the detection of api-related compatibility issues in android apps

L Li, TF Bissyandé, H Wang, J Klein - Proceedings of the 27th ACM …, 2018 - dl.acm.org
The Android Application Programming Interface provides the necessary building blocks for
app developers to harness the functionalities of the Android devices, including for interacting …

A systematic map** study addressing the reliability of mobile applications: The need to move beyond testing reliability

C Wimalasooriya, SA Licorish, DA da Costa… - Journal of Systems and …, 2022 - Elsevier
Intense competition in the mobile apps market means it is important to maintain high levels
of app reliability to avoid losing users. Yet despite its importance, app reliability is …

Deciding on personalized ads: Nudging developers about user privacy

M Tahaei, A Frik, K Vaniea - … Symposium on Usable Privacy and Security …, 2021 - usenix.org
Mobile advertising networks present personalized advertisements to developers as a way to
increase revenue. These types of ads use data about users to select potentially more …

Understanding the evolution of mobile app ecosystems: A longitudinal measurement study of google play

H Wang, H Li, Y Guo - The World Wide Web Conference, 2019 - dl.acm.org
The continuing expansion of mobile app ecosystems has attracted lots of efforts from the
research community. However, although a large number of research studies have focused …

Frauddroid: Automated ad fraud detection for android apps

F Dong, H Wang, L Li, Y Guo, TF Bissyandé… - Proceedings of the …, 2018 - dl.acm.org
Although mobile ad frauds have been widespread, state-of-the-art approaches in the
literature have mainly focused on detecting the so-called static placement frauds, where only …

MalRadar: Demystifying android malware in the new era

L Wang, H Wang, R He, R Tao, G Meng… - Proceedings of the ACM …, 2022 - dl.acm.org
Mobile malware detection has attracted massive research effort in our community. A reliable
and up-to-date malware dataset is critical to evaluate the effectiveness of malware detection …

Maddroid: Characterizing and detecting devious ad contents for android apps

T Liu, H Wang, L Li, X Luo, F Dong, Y Guo… - Proceedings of The …, 2020 - dl.acm.org
Advertisement drives the economy of the mobile app ecosystem. As a key component in the
mobile ad business model, mobile ad content has been overlooked by the research …

A measurement study of wechat mini-apps

Y Zhang, B Turkistani, AY Yang, C Zuo… - Proceedings of the ACM on …, 2021 - dl.acm.org
A new mobile computing paradigm, dubbed mini-app, has been growing rapidly over the
past few years since being introduced by WeChat in 2017. In this paradigm, a host app …